The 605 Data Scientist interview guide, interview questions, salary data, and interview experiences.

605 Data Scientist Interview Guide

Getting ready for an Data Scientist interview at 605? The 605 Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for 605 Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at 605.</li>
<li>Practice real 605 Data Scientist interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the 605 Data Scientist interview.


Getting ready for an Data Scientist interview at 605? The 605 Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for 605 Data Scientist roles.
- Gain insights into the Data Scientist interview process at 605.
- Practice real 605 Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the 605 Data Scientist interview.
        

Overview

605 Data Scientist Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

605 Data Scientist Interview Process

Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.

How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?

Bias vs. Variance Tradeoff

Let’s say that you’re working on a job recommendation engine. You have access to all user Linkedin profiles, a list of jobs each user applied to, and answers to questions that the user filled in about their job search.

Using this information, how would you build a job recommendation feed?

What problem can arise in job recommendation systems with regard to initial recommendations?

What problem can arise in job recommendation systems with regard to initial recommendations?

Job Recommendation

You’re given a dataframe of students named <code>students_df</code>:

<code>students_df</code> table

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Nicole Johnson</td>
<td>20</td>
<td>yellow</td>
<td>95</td>
</tr>

<tr>
<td>Elsa Williams</td>
<td>21</td>
<td>green</td>
<td>82</td>
</tr>

<tr>
<td>John James</td>
<td>20</td>
<td>blue</td>
<td>75</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>
Write a function named <code>grades_colors</code> to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

students = {&#34;name&#34; : [&#34;Tim Voss&#34;, &#34;Nicole Johnson&#34;, &#34;Elsa Williams&#34;, &#34;John James&#34;, &#34;Catherine Jones&#34;], &#34;age&#34; : [19, 20, 21, 20, 23], &#34;favorite_color&#34; : [&#34;red&#34;, &#34;yellow&#34;, &#34;green&#34;, &#34;blue&#34;, &#34;green&#34;], &#34;grade&#34; : [91, 95, 82, 75, 93]}

students_df = pd.DataFrame(students)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def grades_colors(students_df) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

605 Data Scientist Interview Questions

Summary
Hybrid, must reside in the Washington D.C. area for weekly onsite work.
Come join a company that strives for Extraordinary People and Exceptional Performance ! Chenega Services & Federal Solutions, LLC, a Chenega Professional Services company, is looking for a Data Scientist II to join our team of IT experts at the Federal Housing Finance Agency's (FHFA) Office of the Chief Information Officer (OCIO). As a mid-level Data Scientist, you will be working with large datasets, developing predictive models, conducting in-depth statistical analyses, and providing actionable insights to drive business decisions. The Data Scientist II will be expected to contribute to the development and deployment of machine learning models, refine analytical techniques, and collaborate cross-functionally with engineers, product managers, and other stakeholders. This is an excellent opportunity to grow your data science expertise in a collaborative and fast-paced environment.
Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employees knowledge, critical thinking, innovative solutions for our clients.
Responsibilities
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large datasets.
Develop, implement, and maintain machine learning models (supervised, unsupervised, and reinforcement learning) to solve business problems.
Work with complex structured and unstructured data (e.g., text, images, time series).
Implement and evaluate different statistical models, algorithms, and techniques (e.g., regression, classification, clustering, NLP).
Utilize feature engineering techniques to optimize models for production.
Work closely with business stakeholders, product teams, and engineers to understand business goals and translate them into data-driven solutions.
Communicate technical findings and model results clearly to non-technical stakeholders through visualizations and reports.
Provide ongoing support for the deployment and monitoring of models in production.
Conduct model validation using cross-validation techniques, A/B testing, and performance metrics.
Optimize model performance through hyperparameter tuning, cross-validation, and other optimization strategies.
Regularly monitor and update models to ensure they perform effectively over time (model drift, concept drift).
Use data science tools and libraries such as Python (NumPy, pandas, scikit-learn), R, SQL, and/or other languages for data manipulation, analysis, and visualization.
Work with big data tools such as Spark, Hadoop, or cloud platforms (AWS, GCP, Azure) as required.
Create and maintain dashboards, reports, and other data visualizations using tools like Tableau, Power BI, or custom solutions.
Stay up-to-date with the latest research, techniques, and technologies in data science, machine learning, and artificial intelligence.
Collaborate with junior data scientists to guide and mentor them in data science methodologies and tools.
Qualifications
Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field or equivalent experience. Masters Degree preferred.
2-4 years of experience as a data scientist or in a similar analytical role with hands-on experience in building and deploying machine learning models.
Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data manipulation tools (e.g., pandas, NumPy).
Familiarity with database systems (SQL and NoSQL) and experience working with large datasets.
Experience working with cloud-based tools and platforms (AWS, Google Cloud, Azure) is a plus.
Proficiency in Python, R, and/or other data science programming languages.
Strong knowledge of statistical analysis, hypothesis testing, and data modeling techniques.
Solid understanding of algorithms, optimization, and machine learning theory.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
Experience with version control (e.g., Git) and collaboration tools (e.g., JIRA, Confluence).
Strong problem-solving skills with the ability to approach complex business problems with data-driven solutions.
Ability to translate complex technical results into clear, actionable insights for business stakeholders.
Experience presenting results to both technical and non-technical audiences.
Preferred Skills:
Experience with advanced machine learning techniques (e.g., deep learning, NLP, reinforcement learning).
Experience in specialized domains such as natural language processing (NLP), computer vision, or time-series forecasting.
Familiarity with DevOps practices for model deployment and monitoring in production environments.
Knowledge of model explainability and interpretability techniques.
Final salary determination based on skill-set, qualifications, and approved funding.
Many of our jobs come with great benefits Some offerings are dependent upon the role, work schedule, or location, and may include the following:
Paid Time Off
PTO / Vacation 5.67 hours accrued per pay period / 136 hours accrued annually
Paid Holidays - 11
California residents receive an additional 24 hours of sick leave a year
Health & Wellness
Medical
Dental
Vision
Prescription
Employee Assistance Program
Short- & Long-Term Disability
Life and AD&D Insurance
Spending Account
Flexible Spending Account
Health Savings Account
Health Reimbursement Account
Dependent Care Spending Account
Commuter Benefits
Retirement
401k / 401a
Voluntary Benefits
Hospital Indemnity
Critical Illness
Accident Insurance
Pet Insurance
Legal Insurance
ID Theft Protection
Teleworking Permitted?
Yes
Teleworking Details
Hybrid, must reside in the Washington D.C. area and report onsite weekly
Estimated Salary/Wage
USD $119,000.00/Yr. Up to USD $155,000.00/Yr.
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OVERVIEW & RESPONSIBILITIES
Under the mentorship of the Executive Director of Global Analytics and Data Science, this role is centered on developing machine learning models, advanced analytics tools, web applications, and backend engineering infrastructure. These initiatives are momentous in shaping strategies across Production, Marketing, and Distribution at Paramount Pictures. The ideal candidate is a data scientist who relishes the challenge of defining and solving complex mathematical problems and applying these solutions to real-world business challenges. Your contributions will be indispensable in delivering best-in-class, big data-driven insights and AI products within the movie industry.
Data Analysis and Metric Development: Apply large datasets to develop and refine robust key performance indicators that monitor marketing initiatives, box office performance, and other pertinent metrics across both domestic and international markets.
Automation and Visualization: Automate the calculation and visualization of these preeminent metrics for routine reporting, ensuring they deliver reliable and actionable insights.
Machine Learning and Statistical Modeling: Conduct research, recommend, and implement machine learning and statistical models to support various business initiatives. Ensure the appropriate application of innovative models with academic rigor that are well-suited to our business use cases.
Dashboard and Application Development: Design and create advanced Tableau dashboards and applications that effectively communicate analytical insights to a broad spectrum of partners, from business analysts to C-suite executives. This responsibility includes architecting and developing robust backend calculation pipelines that support the functionality and scalability of these dashboards and applications.
Partner Communication: Reliably present technical results and strategic insights to both technical and non-technical allies. Collaborate closely with data engineers to secure high-quality data and to understand the orchestration environment for calculation pipeline deployment. Partner with business analysts to translate business requests into technical specifications.
BASIC QUALIFICATIONS
Educational Background: Possess a graduate degree in Data Science, Computer Science, Business Analytics, Statistics, Economics, Applied Mathematics, or a related quantitative field from a prestigious institution.
Professional Experience: Minimum of six months of industry or internship experience in a data science or machine learning engineering role, demonstrating strong proficiency in Python, SQL, and version control using Git.
Technical Skills: Tried ability to independently fit, evaluate, and interpret statistical and machine learning models within a business context.
Communication Skills: Excellent verbal and written communication skills, crucial for documenting findings and fostering effective daily collaborations.
Project Management: Ability to prioritize and meet deadlines in a dynamic environment.
Attention to Detail: Prodigious attention to detail, ensuring precision in data analysis, model development, and reporting.
ADDITIONAL QUALIFICATIONS
Data orchestration tools such as Airflow.
Data warehousing solutions like Snowflake.
Cloud services, including Amazon Web Services (AWS) and Google Cloud Platform (GCP).
Development environments like Visual Studio Code.
Programming skills in HTML, C, or Java.
Web application development.
Data pipeline ingestion processes.
A high degree of curiosity and motivation to learn new technologies and methodologies.
Stellar problem-solving skills and logical thinking.
A strong interest in AI and enthusiasm for AI product development.
ADDITIONAL INFORMATION
Hiring Salary Range: $110,000.00 - 125,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
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Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates. Read our full statement on our Career's page .
Seismic, a rapidly growing Forbes Cloud 100 company, is the global leader in enablement, helping make sales teams better by becoming more productive and engaging with buyers in a compelling way. Seismic's platform provides continuous guidance to improve behavior, content, and skills to win more deals and deliver better experiences. Nearly 2,000 organizations including IBM and American Express have made Seismic their enablement platform of choice. Seismic integrates with business-critical platforms including Microsoft, Salesforce, Google and Adobe. Seismic is headquartered in San Diego, with offices across North America, Europe, Australia and China. Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are. Learn more about DEI at Seismic here . At Seismic, we believe that AI, particularly Generative AI, will empower and transform how go-to-market and enablement teams operate and interact with customers. Seismic Aura, our AI engine, is powering this change and is being infused across the Seismic enablement cloud. Our focus is to leverage AI to make sellers and enablers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes.
AI is one of the fastest growing product areas in Seismic. We have announced and are launching our Aura Copilot AI assistant suite. In addition, AI is an integral part of our Seismic for Meetings conversational & engagement intelligence suite.
As a Principal Data Scientist II - AI Architect, you will play a crucial role in shaping the AI strategy and driving the development of innovative AI solutions across our platform. You will collaborate with cross-functional teams to design, architect, build and integrate advanced AI capabilities that enhance our AI product offerings and deliver exceptional value to our customers. This position offers a unique opportunity to make a significant impact on our company's growth and success by leading AI technology and architectural initiatives and ensuring their alignment with our business objectives.
What you will do:
AI Technology and Architecture Development: Define and drive the AI Technology and Architectural directions for Seismic, ensuring alignment with business goals and product roadmaps.
AI Use Case Development: Work hands-on with Data Scientists and Machine Learning Engineers to build AI & ML applications, assessing tradeoffs and evaluating options to deliver high quality and high value product solutions.
Integration: Lead the integration of AI capabilities across the Seismic platform, including data foundation, conversational intelligence, video analysis, content management and discovery systems.
Technical Leadership: Provide strong technical leadership and guidance to the data science and engineering teams, fostering a culture of collaboration, innovation, and continuous learning. Stay abreast of the latest trends and techniques in AI and ML, conducting research and experimentation to drive innovation and maintain a competitive edge.
Product Innovation: Collaborate with product managers, engineers, designers and other stakeholders to identify opportunities for AI-driven product enhancements and collaborate on AI product roadmap development.
Performance Optimization: Define and analyze key metrics to measure the success of AI initiatives, ensuring high-quality, high-performance, scalable, and reliable solutions.
Who you are:
Experience: 15+ years of experience (or 12+ years of experience with advanced degrees) in data science and AI, with a proven track record of building AI software products, and leading technical efforts.
Technical Expertise: Strong expertise in AI & ML model and use case development, including hands-on experience with Python or related languages for data analytics, GenAI and machine learning.
SaaS Knowledge: Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern machine learning technologies and operational infrastructure. Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure. Experience with kubernetes-based microservice architecture.
Product Development: Experience in collaborating with product management and design, with the ability to translate business requirements into technical solutions that drive successful delivery.
Leadership Skills: Excellent leadership and communication skills, with the ability to inspire and motivate teams to achieve their full potential.
Strategic Mindset: Strong problem-solving and decision-making skills, with a strategic mindset and the ability to develop a strong point of view and drive vision forward.
Education: Bachelor's or master's degree or higher in Computer Science, Engineering or a related field.
Fast-paced Environment: Experience working in a fast-paced, dynamic environment, preferably in a SaaS or technology-driven company.
Why Join Us:
Opportunity to be a key technical leader in a rapidly growing company and drive innovation in the SaaS industry.
Work with cutting-edge technologies and be at the forefront of AI advancements.
Competitive compensation package, including salary, bonus, and equity options.
A supportive, inclusive work culture.
Professional development opportunities and career growth potential in a dynamic and collaborative environment.
Our values:
Here at Seismic, we ignite growth for our company, industry, and people. We are enablement innovators seeking the best, brightest teammates who are mission-driven and empowered by our values.
We are inclusive.
We are vulnerable.
We seek to understand.
We strive for excellence.
We champion the customer.
We celebrate success.
What we have for you:
USA
Take time to rest and recharge with generous time off, paid company holidays and end of year company shutdown.
Medical, dental, vision, employer-paid life insurance and disability benefits
Access to Health Savings Account (HSA) with $1,000 Single/$2,000 annual employer contribution
Access to free paid telemedicine and wellness offers through medical plan
Fertility and family planning benefits with financial assistance for adoption and surrogacy
Paid parental leave and family caregiver leaves
Annual professional development reimbursement
Mental health support with 12 free counseling sessions for you and your family members
401k with annual employer match
Equity program and performance-based bonuses
Bring Your Own Device technology stipend
Seismic Cares Program with charitable donation matching
Canada
Take time to rest and recharge with paid time off, paid company holidays, and end of year company shutdown
Fertility and family planning benefits with financial assistance for adoption and surrogacy
100% employer-paid Medical, dental, vision and 2x life insurance
Retirement savings plan with annual employer contribution
Equity program and performance-based bonuses
Paid parental leave
Access to free paid telemedicine
Mental health support with 12 free counseling sessions for you and your family members
Annual professional development reimbursement
Bring Your Own Device technology stipend
Seismic Cares Program with charitable donation matching
Communities of Belonging (employee resource/affinity groups)
#LI-Remote #LI-DL1
We are committed to fair and equitable compensation practices.
Seismic's annual base salary range for this position will vary based on applicants location, experience, job level, skills, and abilities as well as internal equity and alignment with market data. The range listed below is the minimum to the maximum of our target hiring range.
This position is also eligible to participate in Seismic's incentive plans in addition to base salary. The actual incentive amount will vary and will be subject to the terms and conditions set in the applicable incentive plan.
Seismic's salary range for this position $158,100$272,700 USD If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at talent@seismic.com .
Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales enablement , backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T. Rowe Price. Seismic also recently expanded its team and product portfolio with the acquisition of Percolate, Grapevine6, and Lessonly. Our board of directors is composed of several industry luminaries including John Thompson, former Chairman of the Board for Microsoft.
Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
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Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary
The People & Culture Lead Data Scientist is a subject matter expert in leveraging people data to unlock valuable insights and drive data-driven decision making across the organization. This role develops predictive models to identify trends and patterns, forecast outcomes, and inform People & Culture decisions. This position also designs and implements experiments to test the effectiveness of People & Culture initiatives and programs. The Lead creates data visualizations and dashboards to communicate insights and recommendations to People & Culture and business leaders. Additionally, this role collaborates with People Partners, analysts, and other stakeholders to identify opportunities for data-driven improvements in People & Culture processes and programs. This Lead Data Scientist also stays up to date on the latest developments in data science, People & Culture analytics, and technology, and leverages this knowledge to drive innovation and continuous improvement in People & Culture.
Essential Job Functions
Leverage data science tools and methodologies to perform quantitative and qualitative research and investigate opportunities across employee life cycle (e.g., talent sourcing, workforce planning, learning/development, employee experience, listening/engagement, and retention/attrition). - (25%)
Develop predictive models to forecast complex People & Culture related issues, such as turnover and staffing. Generate hypotheses regarding trends and drivers of employee behavior/performance, execute statistical tests to support/disprove, ensuring reliability, explainability, and ethics/responsibility. - (25%)
Create compelling data visualizations and dashboards to communicate insights and recommendations to leadership in a clear and concise manner. - (20%)
Drive data literacy and advocate for data-driven decision-making across the People & Culture organization. Stay current with advancements in data science, technology, AI/ML, and people analytics. - (15%)
Ensure data quality, accuracy, and completeness in all analyses and reports. Work with IT and other stakeholders to ensure the security, privacy, and compliance of People & Culture data and analytics. - (15%)
Minimum Qualifications
Bachelors Degree in Data Science, Statistics, or a related field of study
5+ years of experience as a Data Scientist with significant exposure to human capital data.
5+ years in statistical analysis and modeling techniques, such as regression analysis, machine learning, and data mining.
5+ years in data visualization and reporting tools, such as Tableau, MicroStrategy, or Power BI to create interactive and insightful dashboards.
5+ years working with and analyzing large and complex datasets, both structured and unstructured; experience in leveraging those datasets for training, evaluating, and deploying Machine Learning / Deep Learning / NLP / Time Series models.
5+ years with HR systems and technologies.
5+ years with machine learning algorithms, predictive modeling, and statistical analysis.
Preferred Qualifications
Masters Degree in Data Science, Statistics, or a related field of study
Skills
Programming Languages
Data Mining
Predictive Modeling
Advanced Analytics
Microsoft Excel
Research Designs
Reports To : Director and above
Direct Reports : 0
Work Environment
Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if within 60 miles of a Bread Financial location.
Travel
Ability to travel up to 10% Annually
Physical and Mental Requirements
To perform this job successfully, an individual must be able to perform each essential job function satisfactorily and meet the physical, mental and work environment requirements. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions, absent undue hardship.
Communicate/Hearing
Communicate/Talking
Typing/Writing
Focus and complete tasks in situations that have a speed or productivity metric
Maintain focus in high pressure or fast-paced work environment
Other Duties
This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.
Salary Range: $120,500.00 - $218,300.00
Full Salary Range for position:
California: $138,600.00 - $272,900.00
Colorado: $120,500.00 - $229,200.00
New York: $132,500.00 - $272,900.00
Washington: $126,500.00 - $251,100.00
Maryland: $126,500.00 - $240,200.00
Washington DC: $138,600.00 - $251,100.00
Illinois: $120,500.00 - $240,200.00
The actual base pay within this range may be dependent upon many factors, which may include, but are not limited to, work location, education, experience, and skills.
About Bread Financial
At Bread Financial, youll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. Weve been consistently recognized as a best place to work nationally and in many markets and were proud to promote an environment where you feel appreciated, accepted, valued, and fulfilledboth personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.
Job Family: Data and Analytics
Job Type: Regular
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Hiring:Job Title: Senior Data Scientist [ 5– 7 years]Location: Yemalur, Bengaluru Job Role: Worked on and have good knowledge of Google Cloud Platform (GCP) and corresponding ML services like Vertex AI, Big Query ML, Auto ML, Kubeflow- Experience in developing MLOps pipelines.- At least 2-3 years of experience in Supply Chain domain- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, Text mining, social network analysis, Natural Language processing, etc.- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.- Experience in analyzing complex problems and translating them to data science algorithms. - Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.- Prior experience of having worked in consulting/product/analytics environment.- Team player and demonstrated ability to work effectively across various internal organizations and international teams.- Certified with GCP Professional Machine Learning Engineer.- Strong business acumen and ability to translate data insights into meaningful business recommendations. - Excellent verbal and written presentation skills - Attention to detail and ability to work in high pressure environment. - Proven experience in delivering analytical solutions within mid to large size project teams, and working in on-shore & off-shore environment Roles and Responsibilities:- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.- Responsible for building and maintaining ML Ops pipelines for the product.- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Develop custom data models and algorithms to apply to data sets- Ability to manage multiple projects with competing priorities- Provide project management, quality assurance, leadership and mentoring to a team of analyst based in an offshore location.- Keep abreast of industry trends and emerging methodologies to continuously improve skill set around customer and product analytics. - Contribute to knowledge sharing and improve team productivity through training/documentation of best practices that are directly linked to customer engagement. Reporting To:                      This role will report to Assistant Vice President, Analytics

Description The Intelligence Group at Leidos has an opening for a Sr. Data Scientist to support our customer in St. Louis Missouri. This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences.Position Description: Exploitation Specialist/Data Scientist - SeniorStaffing Requirement:This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences.DutiesProvide the customer with data science management and automation support. Any data management solutions created by the contractor should take into consideration any modernization objectives including the modernized database applications as well as other enterprise activities (e.g., GEOINT Workbench Foundation).Provide embedded GEOINT/ Data Science expertise to assure continuity of Precise Imagery data provision to the customer.Deliver service solutions that integrate best practices to modernize current practices.Perform data Investigations on complex problems using applied statistics, building algorithms and collaborating with domain expertise to convey complicated realities to non-technical audience.Provide data visualization of disparate sources via dashboards that can be understood by non­ technical audiences.Coordinate utilization and sustainment of the new database management processes and workflows with database developers and analysts.Ensure new workflows have ability to be integrated seamlessly with our modernized database applications and enterprise-level APls.Data modeling and simulation of production and change detection data of in-house created data.Data visualization of production metrics of in-house created data.Statistical analysis of in-house created data.Scripting and coding to include converting Visual/Basic Maplnfo scripts to Python.Implementing enterprise database management processes.Automating repetitive data management tasks.Skills and Experience:RequiredBachelor’s degree in related field Typically requires a BA degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience.A combination of 9 years of demonstrated experience in any three of the following tools/methodologies:PythonArcGIS, ArcSDE, ArcProQuantum GIS (QGIS)PostgreSQL, Postgis, PgAdminApplication programming interfaces (APls)Using applied statisticsBuilding algorithmsUnderstanding and familiarity with the following tools:Maplnfo, MapBasicDesiredExperience with workflow management systems, such as FlowableUnderstanding of the Customer Requirements process.Original Posting Date:2024-12-13While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.Pay Range:Pay Range $89,700.00 - $162,150.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

DoD Data Scientist/Decision Support Analyst (Full Time)
Location: Alexandria, VA - Hybrid or On-Site
Clearance Requirement: Active TS
This is a full-time opportunity with a DoD organization in the Washington, DC area. Strong compensation offered for the right candidate.
As a Decision Support Analyst, you will increase DoD leader decision space, drive understanding of strategic risk, and develop recommended courses of action. Analysts employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide collaboration to provide routine, special interest, and alert-triggered campaign assessments, and when necessary, facilitate and synchronize enterprise-level campaign adjustment. Analysts will utilize a flexible and foundational toolset to add value across campaigning topics, blending functional area knowledge with an ability to identify data sources, manipulate data, use data analytics tools, understand/anticipate strategic intent, and communicate with senior DoD leaders.
Were looking for the right combination of data science skills and candidates with at least 8-10 years of experience in these functional areas:
Strategy and Operational Concepts
Logistics and Supply Chain
Defense and Military Operations and Activities
Authorities and Permissions
Defense and Military Agreements
Command and Control Arrangements
Strategic Influence
Basic Qualifications:
8-10 years of experience in the specified functional areas
Extensive experience analyzing and interpreting complex data and researching findings to create strategies for improvement
Extensive experience using tools and portals (i.e., Databricks, JIRA, SharePoint, and similar tools) that link and integrate authoritative data sources for tracking, monitoring, and reporting
Familiarity with the Pentagon, DoD organization/structure, and senior leader decision-making and experience interfacing with senior DoD leaders
Excellent problem-solving, communication, and interpersonal skills, with knowledge and experience in:
Programming (low level, high level, parallel)
Artificial Intelligence and Machine Learning
Simulation/model development and prototyping
Software engineering
Experience conducting research and analysis to assist SMEs and program analysts with identifying strategic options, developing relevant courses of action, and risk-based alternatives to operational challenges
Proven ability to gather data and create reports and presentations, reviewing and organizing disparate quantitative and qualitative data into coherent analyses
Highly proficient working with data-driven tools, including: Databricks, Qlik, Tableau, ARCGIS, Analysts Notebook, etc.
Experience building and using visualization dashboards and analytic tools to communicate recommendations and findings to senior leaders and external stakeholders
Intermediate level coding experience and familiarity with programming languages such as Python
Energetic, with strong interpersonal skills and background. Experience working within a team environment and the ability to adapt to rapidly changing requirements and multi-task capabilities
Job Location: Alexandria, Virginia, United States
Position Type: Full-Time/Regular
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This is the Full-Time/ Contract W2 opportunity with Amazee Global Ventures Inc.
We welcome all qualified applicants.
Job Title: Senior Data Scientist
Location: Chicago, IL
Duration: Long term
Pay Rate: $55-$60/hr on W2
Experience: 15+ years
Responsibilities:
Collaborate with data engineering team to build an internal attribution model.
Drive LTV and retention modeling that will influence business recommendations aimed to bolster customer retention.
Roam our data to build insights that will inform key stakeholders on existing investments as well as potential investments for growth.
Solve ad hoc data problems that arise providing strategic solutions to enhance performance.
Support the Member Experience team in identifying opportunities to optimize LTV metrics and retention performance.
Drive onboarding and management of a test and experiment platform.
Provide forecasting on financial impact of retention efforts.
Assess LTV levers and identify metrics that impact LTV (i.e. M1 retention, M2 retention, etc).
Provide reporting on the various investments made to drive LTV and retention each week to understand the broader impact to main funnel metrics (i.e. CPM, CTR, CPS, CVR, CAC).
Incorporate demographic data to support insights and optimizations that will enable greater membership retention.
Gather and analyze data from various sources, including CRM, web analytics, and media platforms, to identify trends and opportunities for growth.
Build predictive models to forecast customer behavior and inform Member Experience and Marketing strategies.
Conduct attribution analysis to determine the impact of each customer touchpoint on customer behavior.
Stay up-to-date with industry trends and changes in marketing measurement best practices, and share insights / recommendations to ensure our strategies are always relevant and effective.
Support other related work as directed by the heads of the department.
What We're Looking For:
15+ years of experience in data science, marketing measurement, or a related field.
Bachelor degree in physics, mathematics, statistics, computer science is preferred; or major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation.
However, a Bachelor or other tertiary qualification is not required - we welcome other backgrounds.
Expert-level proficiency in data analysis tools such as Python, R, SQL, and/or SAS.
Strong analytical skills and ability to translate complex data into actionable insights.
Knowledge of marketing landscape and industry trends.
Strong attention to detail and a proven ability to manage multiple work streams at once.
Excellent communication skills, with the ability to present data and insights to senior leadership and stakeholders at all levels of the organization.
Ability to work collaboratively in a team environment and manage multiple projects and priorities simultaneously.
Comfort operating in ambiguous and changing situations to deliver on the right results.
Excited to be collaborating with performance marketing teams in a global, high growth, late-stage private or public, consumer-focused company.
A full life outside of work with personal passions and hobbies!
Amazee Global Ventures Inc, is an equal opportunity employer. We will not discriminate and will follow all measures to ensure no discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity or gender expression. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients.
Job Types: Full-time, Contract
Pay: $55.00 - $60.00 per hour
Experience:
Python: 1 year (Preferred)
SQL: 1 year (Preferred)
Work Location: On the road
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Boston, Chicago, Houston, Los Angeles, San Francisco
Job Description
About L.E.K. Consulting
L.E.K. Consulting is a global management consulting firm that uses deep industry expertise and rigorous analysis to help business leaders achieve practical results with real impact. We are uncompromising in our approach to helping clients consistently make better decisions, deliver improved business performance and generate greater shareholder returns. The firm advises and supports global companies that are leaders in their industries including the largest private and public sector organizations, private equity firms and emerging entrepreneurial businesses. Founded more than 35 years ago, L.E.K. employs more than 2,200 professionals across the Americas, Asia-Pacific and Europe. For more information, go to www.lek.com.
Overview of the Data & Analytics team:
L.E.K.'s Data & Analytics function is focused on creating and deploying best-in-class capabilities to drive business results for our clients. The team is comprised of data scientists, data engineers, technical business analytics consultants, and product managers who work together to solve some of the most challenging business problems our clients have. We drive the full analytics life cycle on client engagements: scoping and understanding business challenges, developing and maintaining robust data assets, creating and running innovative analytical techniques, generating compelling visualizations to communicate the findings / recommendations. We build, develop, and maintain innovative tools and applications for use across projects and for specific clients. We coach, mentor and train colleagues from across the business, on everything from what types of commercial problems analytical techniques can help solve to in-depth technical training for specific types of analysis.
We are actively looking for a Data Scientist or Senior Data Scientist to join L.E.K.s rapidly growing Data & Analytics team. The primary focus of this role is to provide technical expertise: helping to execute on complex analytics across a wide variety of often fast-paced client engagements, helping to build innovative tools and applications that can help solve clients commercial issues, helping to execute cutting edge analytical techniques, helping to drive technical roadmaps for the function and firm, and training our colleagues.
As part of a dynamic and growing team, there is every opportunity to carve out value added work, and to grow your skills and experience. You receive state-of-the-art training in a variety of domains and lead the organization to adopting new and innovative methods to solve our clients hardest questions. You wont just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients.
Data & Analytics is one of four key pillars to the Solutions Team at L.E.K. Consulting, alongside Market Insights, Information & Research Center and Knowledge Management. The Solutions team works together to support and enable our consulting team members to generate best in class insights for our clients.
Responsibilities:
Client engagements:
Lead end-to-end data science projects from conceptualization through to deployment, and deploy advanced machine learning models in clients' cloud environments, optimizing for scalability, performance, and reliability to address specific business challenges and objectives.
Support clients in strategically leveraging technical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows.
Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one time.
Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizations.
Help drive the technical roadmap needed to support client engagements.
Analytical apps, service lines, and proprietary data assets:
Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problems.
Collaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offer.
Provide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicable.
Uphold best-in-class standards in app development, data integrity, and ensuring solutions are both scalable and maintainable.
Client / business development:
When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of work.
Provide input into training / upskilling the D&A team provides to Managing Directors to ensure they are aware of all of our most current capabilities.
Capability development:
Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutions.
Support commercialization and upskilling of staff on relevant software, tools and techniques.
Help drive the technical roadmap to ensure we are operating a best-in-class Data & Analytics function.
Mentor team members, contribute to technical capabilities of the team.
Qualifications and Experience:
Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics.
A minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data Scientist.
A minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Senior Data Scientist.
Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus.
Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions. (e.g., Sagemaker, Azure ML, Kubernetes, Airflow).
Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environments.
Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices.
Experience with commercial business analytics; experience at a consulting firm / agency is a plus.
Proficient in Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholders.
Ability to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence.
For more information and to apply, go to https://www.lek.com/join-lek/apply/apply-now.
Candidates responding to this posting must currently possess eligibility to work in the United States.
L.E.K. Consulting is an Equal Opportunity Employer.
L.E.K. Consulting has a hybrid work model in place for our U.S. offices.
In California, the base salary is between $80,000 - $145,000 (USD); placement within this range will vary based on experience and skill level. L.E.K. also offers a performance bonus, profit sharing and other benefits.
In other locations, competitive pay is commensurate with the role and geography.
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Description
We are seeking 3 Sr Level Data Scientists to support the Chief Data and Artificial Intelligence Office (CDAO) in our client's acceleration of the DoD's adoption of data, analytics, and AI to generate decision advantage from the boardroom to the battlefield. The role involves designing, developing, and optimizing AI/ML solutions, collaborating with cross-functional teams to integrate AI technologies and ensuring scalability and performance using cloud-based and distributed computing tools like Apache Spark. Additionally, the position includes managing the full lifecycle of AI components, conducting research, and applying AI advancements to enhance products, while maintaining shared libraries, supporting prototyping strategies, and addressing data-related challenges.
Hybrid schedule:
2-3 days a week in Falls Church, Arlington, or Alexandria.
Responsibilities : Designs, configures, develops, tests, and maintains informatics and data science solutions across a broad range of technical applications.
Collaborates with cross-functional teams, including data scientists and software engineers, to incorporate AI solutions from CDAO or the DoD community into Search Portfolio products as appropriate.
Optimizes AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks, particularly Apache Spark/Databricks, and adapts code to run on GPU-enabled Kubernetes clusters.
Keeps up to date with advancements in AI research and applies relevant findings to enhance Search Portfolio products.
Manages the full lifecycle of AI/ML components used in Search Portfolio products, from research and development to deployment and optimization.
Uses analytical methodologies to identify data-related challenges, implement solutions, and assess performance.
Documents and presents requirements, design options, and findings to team members and clients.
Develops strategic data modeling processes, accurately identifying cause-and-effect relationships.
Experienced with integrated development environments, data integration, data visualization, data mining, and analysis tools.
Maintains and supports the development of shared libraries and tools for use across multiple teams.
Assists in developing a strategy for achieving rapid prototyping.
Skills: git, machine learning, python, c++, sql, gpu
Requirements: Bachelor's degree with 7-10 years of experience, or Masters degree plus 5 years of experience.
Experience with machine learning fields such as natural language processing, computer vision, and statistical learning theory.
Direct experience with Large Language Models, text embedding, semantic query, use of generative AI for text, and Retrieval Augmented Generation (RAG).
Familiarity with data preprocessing, feature engineering, and model evaluation techniques for machine learning projects.
Strong understanding of supervised and unsupervised learning, reinforcement learning, and neural networks.
Experience with version control systems like Git.
Experience in an ML engineer or data scientist role building machine learning models.
Experience writing code in Python, R, Scala, and C++ with documentation for reproducibility.
Experience using distributed computing environments, such as Apache Spark or Databricks, for AI/ML workloads.
Experience handling petabyte-sized datasets, conducting in-depth data analysis, using data visualization tools, writing SQL code, and working with GPUs to develop models.
Experience working with cloud-based data persistence products, especially RDS PostgreSQL and PostgreSQL extensions such as pgvector.
Experience writing and speaking about technical concepts to business, technical, and lay audience and giving data-drive demonstrations.
Active Top Secret clearance with SCI eligibility.
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $62.00 - $96.00
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
•Medical, dental & vision
•Critical Illness, Accident, and Hospital
•401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
•Life Insurance (Voluntary Life & AD&D for the employee and dependents)
•Short and long-term disability
•Health Spending Account (HSA)
•Transportation benefits
•Employee Assistance Program
•Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Washington,DC.
Application Deadline
This position will be accepting applications until Dec 20, 2024.
About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.
Diversity, Equity & Inclusion At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through: Hiring diverse talent
Maintaining an inclusive environment through persistent self-reflection
Building a culture of care, engagement, and recognition with clear outcomes
Ensuring growth opportunities for our people The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

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