Description Looking for a rewarding career challenge?Unleash your potential at Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer’s success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. With Leidos, you will enjoy competitive benefits such as Paid Time Off, Flexible Schedules, Discounted Stock Purchase Plans, Education and Training Support, Parental Paid Leave, and more!If this sounds like an environment where you can thrive, keep reading!Are you ready to join an incredible team? This contract is critical to the government and allows team members to work independently and in a team environment to achieve success. If you are passionate, motivated, and want to be part of an organization that values your contributions, we want to hear from you.Apply today!Your greatest work is ahead!The Leidos National Security Sector uses a wide range of capabilities to support our customers’ mission to defend against evolving threats around the world. Our team’s focus is ensuring our intelligence customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets. If this sounds like an environment where you can thrive, apply today!We are looking for a Data Scientist with an entrepreneur’s mindset to support a fast-paced and growing data science team working on projects critical to National Security. The position is located within a classified space in the Northern Virginia area and requires an active TS/SCI with Polygraph security clearance.The Data Scientist will be expected to build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings. The Data Scientist will perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics. The Scientist will construct and perform complex database search queries in multiple databases using SQL and API interfaces. The Scientist will perform web scraping and apply various techniques for processing unstructured data. The Scientist will leverage automation and machine learning to manage data, predict scenarios and make recommendations. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment. The Data Scientist will be expected to learn and leverage emerging technologies including AWS and Git.Requirement:Experience with Python required.TS/SCI clearance with polygraph is required.Demonstrated experience using supervised and unsupervised learning and natural language processing machine learning techniques required.Experience / familiarity with frequentist statistics and probability including predicative modeling.Experience working with data manipulation, analytic/business insight tools, and data visualization experience required.Experience constructing and performing complex database search queries.Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics.Experience with visualizing data using popular packages including Tableau, Plotly, Seaborn and/or Matplotlib required.Ability to communicate technical findings to non-technical audiences.Requires BS degree and 12 – 15 years of prior relevant experience or master’s with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domainOriginal Posting Date:2024-12-19While 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 $126,100.00 - $227,950.00The 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.

Clearance Required:TS/SCI with Full Scope Poly Relocation assistance:NoVisa sponsorship eligibility:NoA Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs.Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.Position Responsibilities:A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.Required Degree and Experience: Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) 7 years of experience, Masters Degree 5 years of experience, or PhD 2 years of experience Required Skills:Programming experience with data analysis software such as R, Python, SAS, or MATLAB.Develop experiments to collect data or models to simulate data when required data are unavailable.Develop feature vectors for input into machine learning algorithms.Identify the most appropriate algorithm for a given dataset and tune input and model parameters.Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).Oversee the development of individual analytic efforts and guide team in analytic development process.Guide analytic development toward solutions that can scale to large datasets.Partner with software engineers and cloud developers to develop production analytics.Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.Continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

Data Science Engineer - Contract - Onsite - Gaithersburg, MD
Position: Data Science Engineer
Location: On Site 5x week at Gaithersburg, MD
Skills:
Solid Telecom/Data Engineer experience
Data Science/Data Engineer experience ideally with someone that has worked with networks/also has network engineering background.
5+ years of experience programming using C/C++, Java, Python, Go, and Pandas.
AWS Cloud experience
Job Description:
Responsibilities:
Provide technical leadership and identify solutions for complex problems.
Understand how to design and build a deployable application that uses any ML model that they design and recommend.
Recommend, track, and report on the business goals and the resulting technical goals, projects, and technical tasks.
Perform proof of concepts, identify initial data wrangling, and provide guidance for the development of the productionized version of the capabilities.
Analyze data and build predictive models based on stakeholder input.
Basic Requirements:
Bachelor's degree in computer science, Data Science, or related technical field.
10+ years of technical experience doing data science in a Telecommunications company.
5+ years of experience performing data science and programming.
5+ years of experience using AWS Cloud technology.
5+ years of experience programming using C/C++, Java, Python, Go, and Pandas.
Preferred Qualifications:
Master's degree in data science.
Knowledge of relational databases such as MySQL, Snowflake, and BigQuery.
Strong DS design knowledge and experience in some ML/Ops/DevOps.
Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries.
Knowledge of data visualization tools and libraries in Python/R (Shiny preferably) or Tableau.
Experience leading analysis efforts for large operational networks.
Advanced analytical and problem-solving abilities.
Ability to break down and understand complex business problems, define a solution, and implement it using advanced quantitative methods.
Identify innovative solutions that apply data science and AI/ML technology to the problem for development teams.
Familiarity with software version control with Git.
Strong work ethic and intellectual curiosity.
Team player with excellent communication and problem-solving skills.

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Data Science Engineer - Contract - Onsite - Gaithersburg, MD
Position: Data Science Engineer
Location: On Site 5x week at Gaithersburg, MD
Skills:
Solid Telecom/Data Engineer experience
Data Science/Data Engineer experience ideally with someone that has worked with networks/also has network engineering background.
5+ years of experience programming using C/C++, Java, Python, Go, and Pandas.
AWS Cloud experience
Job Description:
Responsibilities:
Provide technical leadership and identify solutions for complex problems.
Understand how to design and build a deployable application that uses any ML model that they design and recommend.
Recommend, track, and report on the business goals and the resulting technical goals, projects, and technical tasks.
Perform proof of concepts, identify initial data wrangling, and provide guidance for the development of the productionized version of the capabilities.
Analyze data and build predictive models based on stakeholder input.
Basic Requirements:
Bachelor's degree in computer science, Data Science, or related technical field.
10+ years of technical experience doing data science in a Telecommunications company.
5+ years of experience performing data science and programming.
5+ years of experience using AWS Cloud technology.
5+ years of experience programming using C/C++, Java, Python, Go, and Pandas.
Preferred Qualifications:
Master's degree in data science.
Knowledge of relational databases such as MySQL, Snowflake, and BigQuery.
Strong DS design knowledge and experience in some ML/Ops/DevOps.
Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries.
Knowledge of data visualization tools and libraries in Python/R (Shiny preferably) or Tableau.
Experience leading analysis efforts for large operational networks.
Advanced analytical and problem-solving abilities.
Ability to break down and understand complex business problems, define a solution, and implement it using advanced quantitative methods.
Identify innovative solutions that apply data science and AI/ML technology to the problem for development teams.
Familiarity with software version control with Git.
Strong work ethic and intellectual curiosity.
Team player with excellent communication and problem-solving skills.

#J-18808-Ljbffr

<h3>Job Description</h3><div>Job Description<div>Summary: Seeking a Data Scientist with extensive experience in data science, programming, and AWS cloud technology to support a constellation of LEO satellites for improved internet reception.Basic Requirements:<ul><li>Bachelor's degree in computer science, Data Science, or related technical field (MS preferred)</li><li>10+ years of technical experience in data science</li><li>5+ years of experience performing data science and programming</li><li>5+ years of experience using AWS Cloud technology</li><li>Strong knowledge in DS design and experience in ML/Ops/DevOps</li><li>Experience building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries</li><li>5+ years of programming experience in C/C++, Java, Python, Go, and Pandas</li><li>Previous work experience in the telecom industry</li></ul>Preferred Qualifications:<ul><li>Knowledge of relational databases such as MySQL, Snowflake, and Big Query</li><li>Proficiency with data visualization tools and libraries in Python/R (Shiny preferred) or Tableau</li><li>Familiarity with software version control using git</li></ul>Responsibilities:<ul><li>Convey analysis results to business executives in layman's terms</li><li>Give presentations with confidence and clarity</li><li>Identify innovative solutions applying data science and AI/ML technology for development teams to implement</li></ul> Pay Details: $40.00 to $60.00 per hour Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.entegee.com/candidate-privacy-information-statement/ The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: <ul><li>The California Fair Chance Act</li><li>Los Angeles City Fair Chance Ordinance</li><li>Los Angeles County Fair Chance Ordinance for Employers</li><li>San Francisco Fair Chance Ordinance</li></ul></div></div>

<ul> <li>Data Science Engineer - Contract - Onsite - Gaithersburg, MD </li><li>Position: Data Science Engineer </li><li>Location: On Site 5x week at Gaithersburg, MD </li></ul> Skills: <ul> <li>solid (Telecom/Data Engineer experience) </li><li>Data Science/Data Engineer experience ideally with someone that has worked with networks/ also has network engineering background. </li><li>5+ years of experience programming using C/C++, java, Python, Go and Pandas. </li><li>AWS Cloud </li></ul> Job Description: <ul> <li>Responsibilities: </li></ul> <ul> <li>Provide technical leadership and identify solution for complex problem. </li><li>Must be able to understand how to design and build a deployable application that uses any ML model that they design and recommend </li><li>Recommend, track, and report on the business goals and the resulting technical goals, projects, and technical tasks. </li><li>Perform proof of concepts, identify initial data wrangling, and then provide guidance for development of the productionized version of the capabilities. </li><li>Analyze data and build predictive models based on stakeholder input. </li><li>Basic Requirements: </li></ul> <ul> <li>Bachelor's degree in computer science, Data Science or related technical field </li><li>10+ years of technical experience doing data science in a Telecommunications company </li><li>5+ years of experience performing data science and programming </li><li>5+ years of experience using AWS Cloud technology </li><li>5+ years of experience programming using C/C++, java, Python, Go and Pandas. </li><li>Preferred Qualifications: </li></ul> <ul> <li>Master's degree in data science </li><li>Knowledge of relational databases such as MySQL , snowflake and BigQuery. </li><li>Must have strong DS design knowledge and has experience in some ML/Ops/DevOps </li><li>Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries. </li><li>Knowledge of data visualization tools and libraries in Python/R (Shiny preferably) Or Tableau. </li><li>Knowledge and experience in leading analysis efforts for large operational networks . </li><li>Advanced analytical and problem-solving abilities. </li><li>Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods. </li><li>Identify innovative solutions that apply data science, AI/ML technology to the problem so that a development team can then take that and build an application that leverages the DS approaches. </li><li>Familiarity with software version control with git. </li><li>Strong work ethic and intellectual curiosity. </li><li>Team player with excellent communication and problem-solving skills. </li> </ul>

Client Management Interns support the client team in managing client relationships, ensuring client needs are met, and enhancing client satisfaction. The intern will assist in developing and implementing client success plans, meeting preparation, coordinating cross-functional team support, and organizing client meetings and follow-ups. The role requires effective communication skills, attention to detail, and the ability to work both independently and collaboratively. *Internship details:* <ul><li>The internship will begin January 13, 2025</li><li>This internship will be based in the Detroit Metro area</li><li>20-25 hours/week work dedication during the semester and up to 40/week during breaks and summer</li><li>Anticipated graduation date between December 2025 - December 2026</li><li>Applicants for this internship position with Acxiom in the U.S. must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Acxiom (i.e., H1-B visa, F-1 visa (CPT/OPT), TN visa or any other non-immigrant status)</li></ul>What you will do:<ul><li>Collaborate with the client success team to develop and implement client success plans</li><li>Monitor client satisfaction and proactively address any issues or concerns.</li><li>Preparation for internal and external meetings.</li><li>Support the team in organizing and conducting client meetings and follow-ups.</li><li>Help to identify opportunities for improving client services and processes.</li><li>Maintain accurate and up-to-date client meeting artifacts and documentation.</li><li>Assist in managing client relationships and ensuring needs are met.</li><li>Research projects on relevant industry news, trends, products, services, competitors, and relevant existing and emerging technologies that may impact present and future account performance.</li><li>This role will partner with the Client Partners for the GM and other accounts to support data consulting with our clients:</li><li>Leverage education and experience in data visualization to support data-driven storytelling initiatives across the tower focusing on GM as a first priority.</li><li>Leverage Acxiom’s data and data available through established partnerships with brands like Equifax, Polk and Commerce Signals to develop opportunities for creating high-value audiences and other models.</li><li>Help coordinate and prepare for activities designed to build, test and perfect data solution</li><li>Work directly with account team as well as the Acxiom data teams.</li></ul>What you will need:<ul><li>Currently pursuing a degree in Business, Marketing, Communications, or a related field.</li><li>Strong interpersonal and communication skills.</li><li>Ability to work independently and as part of a team.</li><li>Detail-oriented with excellent organizational skills.</li><li>Proficiency in Microsoft Office Suite and CRM software is a plus.</li></ul>Who are we seeking?<ul><li>Top Talent & High Performers: We hire the brightest in the industry!</li><li>Innovative Collaborators: We drive operational improvements to promote efficiency and improve performance.</li><li>Future Leaders: We develop our people and promote from within.</li><li>Game Changers: We empower people to challenge the status quo and explore new possibilities.</li><li>Emotional Intelligence: We cultivate greatness both within ourselves and with others.</li><li>Hardworking Employees: We look for initiative to conquer complex challenges.</li></ul>We believe in building an exciting workplace where associates feel highly motivated and want to engage every single day. It’s important to Acxiom that we invest in our culture and promote a healthy work-life balance. Acxiom has a fast paced, high-performance culture where we empower our people to do innovative, ground breaking work. You will always be guided to do what is right. Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected Primary Location City/State: 
Homebased - Conway, Arkansas Additional Locations (if applicable):Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City , Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com .

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Data Scientist Jobs in Gaithersburg, MD

Data ScientistDecember 20, 2024

Data Senior Data ScientistDecember 16, 2024

Data ScientistDecember 16, 2024

Data ScientistDecember 16, 2024

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Intern Data Scientist Spring Detroit MetroNovember 27, 2024

Data ScientistNovember 24, 2024

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Data Senior Data Scientist
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Intern Data Scientist Spring Detroit Metro
November 27, 2024

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