Requisition ID: R10177808
Category:  Research and Sciences
Location:  Falls Church, Virginia, United States of America
Clearance Type:  None
Telecommute:  Yes - May Consider Full Time Teleworking for this position
Shift:  1st Shift (United States of America)
Travel Required:  Yes, 10% of the Time
Relocation Assistance:  Relocation assistance may be available
Positions Available:  1
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work.
Northrop Grumman's Enterprise Insights & Analytics (EI&A) organization is seeking an experienced data scientist to join our People Analytics organization. This position will report to the Manager, Advanced Analytics & Products, People Analytics.
This role will sit in our Falls Church, VA location but we may also consider a hybrid or teleworker arrangement for this position.
As a data scientist, you will be responsible for developing and scaling models to approximate our complex workforce and ultimately help answer “what if…?” questions. Through these efforts, you will enable HR leaders and business partners to make informed decisions across multiple areas of human capital including, but not limited to talent acquisition, culture, talent management, compensation and retention.
Responsibilities will include, but are not limited to:
Develop statistical and machine learning models with a modeling & simulation lens to help quantify and reduce future uncertainty across various scenarios.
Build well-structured and understandable code to enable smooth collaboration across the team and successful model deployment.
Serve as a trusted technical expert who can offer informed guidance on methodology or technology decisions and communicate core requirements to our technology teams.
Mentor junior team members by providing guidance on best practices in data science.
Stay abreast of industry trends and methodologies and contribute innovative ideas to drive business value.
Basic Qualifications:
Bachelor’s degree with 8+ years of related professional experience - OR - a Master’s degree with 6+ years of related professional experience - OR – a PhD with 4+ years of relevant experience.
Understanding of (or interest in) HR domain areas and metrics (such as talent acquisition, compensation, performance, learning and development, and HR metrics).
Deep foundational knowledge of statistical modeling and machine learning concepts.
Expertise with Python (at least 5 years).
Proficiency with data transformation using SQL or similar data querying language.
Experience using version software control (e.g. git) with a team of collaborators.
Experience using cloud-based data science tools – i.e. AWS, Azure, DataBricks, Spark/PySpark.
Fluency in translating business problems into questions that can be answered via analytic methods.
Experience collaborating on projects with multiple teams, managing relationships, and communicating findings to audiences.
Must have the ability to obtain and maintain a security clearance. US Citizenship is a prerequisite.
Preferred Qualifications:
Degree in a quantitative field (engineering, mathematics, statistics, computer science, etc.) is preferred.
Experience with Monte Carlo simulation, time series modeling, or probabilistic modeling.
Proven experience putting models into production.
Experience interfacing and presenting to executive audiences.
Experience communicating insights through data-journalism.
Salary Range:  $137,400 - $206,000
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

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<div>A little about us:The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life:We're looking for a talented Data Scientist/Developer to support a program which leverages Natural Language Processing for analysis. As part of a dynamic team of Data Scientists, Developers and Cloud Architects, you will have the opportunity to develop many prototypes, test proof-of-concepts, and have the unique freedom to bring forth your own original ideas in direct support and alignment of specific customer needs and enterprise tradecraft. Development will be performed in an Open-Source environment where you will have direct access to the commercial cloud, tools, libraries and other necessary resources for the software development process. What you bring to the table:Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.<ul><li>Proficiency with a scripting language such as R or Python</li><li>Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.</li><li>A B.S. Degree in Data Science, Mathematics, Computer Science or related field.</li><li>For entry-level data scientists, 0-3 years of experience on Data Science projects.</li><li>For mid-level data scientists, 3-6 years of experience on Data Science projects.</li><li>For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.</li><li>A TS/SCI with Polygraph security clearance.</li></ul>For this particular role, you will also need:<ul><li>5+ years experience in a similar work environment using the described technologies below.</li><li>Extensive Python development experience.</li><li>Natural Language Processing (NLP): SpaCy; Scikit-learn; NLTK; Keras / Tensorflow; NumPy; Topic Modeling; Entity Extraction; Custom model development (supervised/unsupervised ML); Pandas; Jupyter Notebook.</li><li>AWS Cloud Development: Cloud-native managed services - Lambda, Sagemaker, ECR, AWS Glue, AWS S3 Batch Processing.</li><li>Enterprise Application Development: Java, Spring Boot, Angular Framework or similar (React, Vue, etc.), Docker.</li></ul>Why Red Alpha?Every day, our elite customers are pushing through 'the grind' to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight. Some of our perks and benefits:<ul><li>You can retire sooner rather than planned: Get closer to retirement with up to 12% in 401k contributions.</li><li>You can have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.</li><li>You can stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.</li><li>Free access to a fully equipped state of the art gym!</li><li>$300 per year in company branded merchandise (Under Armour, Nike, Carhartt, YETI, etc.).</li><li>Fun events throughout the year including a holiday gala, whisky tastings, fall festivals, happy hours, and more.</li></ul></div>
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<h3>A little about us: </h3>The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. <h3>A day in the life: </h3>We're looking for a Principal Data Scientist to support a program which leverages Natural Language Processing for analysis. As part of a dynamic team of Data Scientists, Developers and Cloud Architects, you will have the opportunity to develop many prototypes, test proof-of-concepts, and have the unique freedom to bring forth your own original ideas in direct support and alignment of specific customer needs and enterprise tradecraft. Development will be performed in an Open-Source environment where you will have direct access to the commercial cloud, tools, libraries and other necessary resources for the software development process. As a Principal Data Scientist, you will be part of a fast-paced environment to support immediate mission needs. This exciting opportunity presents the challenging responsibility of developing critical applications and systems for end-to-end data engineering capabilities to include aggregation, analytics, summarization and visualization on both large structured and unstructured datasets. In this particular role, you will work closely with a variety of individuals while effectively advising, communicating and presenting your findings to multiple stakeholders in multiple disciplinary areas: <ol><li>Data Architecture: Become an expert in characterizing, identifying and cataloging disparate datasets across multiple networks, systems and repositories while leveraging analytic/statistics for discovery and insight. </li><li>Data Engineering: Apply streaming and storage strategies for data-in-transit and data-at-rest respectively. Design and implement high-performance and efficient data catalogs and structures for maximal throughput and minimal overhead for queries and other types of interactions with large datasets. </li><li>Data Science: Apply natural language processing and machine learning/AI advanced techniques to train and optimize models for automating analysis, processes and insight. Deploy these trained models and processes to work on production at scale while leveraging the amenities of a commercial cloud environment - e.g. automatic scaling of the deployment and runtime of prototypes and workflows to distributed clusters. </li><li>Data Visualization: Create visualizations using custom-developed dashboards and/or industry standard commercial platforms to present actionable insights and interactive interfaces. </li> </ol><h3>What you bring to the table: </h3>Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. All of our data scientists need the following skills: <ul><li>Proficiency with a scripting language such as R or Python </li><li>Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list. </li><li>A B.S. Degree in Data Science, Mathematics, Computer Science or related field. </li><li>For entry-level data scientists, 0-3 years of experience on Data Science projects. </li><li>For mid-level data scientists, 3-6 years of experience on Data Science projects. </li><li>For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams. </li><li>A TS/SCI with Polygraph security clearance. </li> </ul>For this particular role, you will also need: <ul><li>16+ years experience in a similar work environment using the described technologies below. Any combination of the following acceptable criteria will be considered for work experience equivalence: Professional work experience history; Relevant technical certifications; Undergraduate degree in Computer Science, Information Systems, Engineering, Business, or a related field in a technical/scientific discipline; Graduate degree in a related field or discipline; Doctorate in a related field or discipline. </li><ul><li>Python development with expertise in Python data packages: pandas, numpy, scipy, gensim, scikit-learn </li><li>Experience with ML technologies - TensorFlow, PyTorch, Jupyter notebooks, etc. </li><li>Programming experience with implementation of machine learning models on textual data and structured datasets </li><li>Experience with working on data visualization technologies - Kibana, Bokeh, Leaflet/Folium, Tableau, Splunk, etc. </li><li>Development experience in commercial cloud environments - Amazon Web Service, Azure, etc. </li><li>Experience with ElasticSearch indexes, SQL data repositories - structured and unstructured </li><li>Experience with data workflow frameworks - Apache NiFi </li><li>Familiarity with industry best practices for Agile software development, automated testing, and continuous integration </li> </ul> </ul>These are important skills to have, but not necessarily mandatory: <ul><li>AWS Cloud development and infrastructure management </li><li>Master’s degree or higher education in Computer Science, Mathematics, Data Science, Statistics or a related field or discipline </li><li>Demonstrated professional experience with computer networks, digital forensics and cybersecurity </li> </ul><h3>The total package: </h3>Our total compensation package was strategically designed with our members in mind with the intention to reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our <a >benefits </a> tab for additional information. Salary Range: <ul><li>Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. </li><li>Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is $190,000 - $250,000. </li> </ul>Some of our additional perks and benefits include: <ul><li>Retire sooner than planned: Get closer to retirement with up to 12% in 401k contributions, no match required and immediate vesting. </li><li>Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. </li><li>Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forget free access to a fully equipped state of the art gym! </li><li>Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. </li><li>Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. </li><li>Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in addition to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! </li> </ul>Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight! #J-18808-Ljbffr

Career Opportunities with Elder ResearchA great place to work.Careers At Elder ResearchCurrent job opportunities are posted here as they become available.Location: Remote with a preference in the DMV area.Clearance Required: TS adjudicated within the past 2 years OR an active TS/SCI OR a CBP clearance.People Centered. Data DrivenElder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.As a Data Scientist, you will be under little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations.Minimum Requirements:<ol><li>Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning.</li><li>Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience.</li><li>Demonstrates knowledge of data mining methods, databases, data visualization, and machine learning.</li><li>Ability to communicate analysis techniques, concepts, and products.</li><li>Ability to develop data-driven solutions, data models, and visualizations.</li><li>Recently adjudicated TS (within past 2 years), active SCI, or Customs and Border Protection Clearance.</li></ol>Desired Experience and Skills:<ol><li>Familiarity with Databricks or similar cloud-based distributed database technologies.</li><li>Familiarity with PySpark and Python.</li><li>Comfortable developing complex SQL queries to extract, transform, and load data.</li></ol>About Elder Research, IncElder Research is a fast-growing consulting firm specializing in predictive analytics. We pride ourselves on our ability to find creative, cutting-edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and teammates to the best of our abilities.Elder Research believes in continuous learning; each week the entire company attends a “Tech Talk” followed by an office lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others.Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.Elder Research is a Government contractor and our positions require US Citizenship.
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Requisition ID: R10177808 Category: Research and Sciences Location: Falls Church, Virginia, United States of America Clearance Type: None Telecommute: Yes - May Consider Full Time Teleworking for this position Shift: 1st Shift (United States of America) Travel Required: Yes, 10% of the Time Relocation Assistance: Relocation assistance may be available Positions Available: 1 At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work. Northrop Grumman's Enterprise Insights & Analytics (EI&A) organization is seeking an experienced data scientist to join our People Analytics organization. This position will report to the Manager, Advanced Analytics & Products, People Analytics. This role will sit in our Falls Church, VA location but we may also consider a hybrid or teleworker arrangement for this position. As a data scientist, you will be responsible for developing and scaling models to approximate our complex workforce and ultimately help answer “what if…?” questions. Through these efforts, you will enable HR leaders and business partners to make informed decisions across multiple areas of human capital including, but not limited to talent acquisition, culture, talent management, compensation and retention. Responsibilities will include, but are not limited to: <ol><li>Develop statistical and machine learning models with a modeling & simulation lens to help quantify and reduce future uncertainty across various scenarios. </li><li>Build well-structured and understandable code to enable smooth collaboration across the team and successful model deployment. </li><li>Serve as a trusted technical expert who can offer informed guidance on methodology or technology decisions and communicate core requirements to our technology teams. </li><li>Mentor junior team members by providing guidance on best practices in data science. </li><li>Stay abreast of industry trends and methodologies and contribute innovative ideas to drive business value. </li> </ol>Basic Qualifications: <ol><li>Bachelor’s degree with 8+ years of related professional experience - OR - a Master’s degree with 6+ years of related professional experience - OR – a PhD with 4+ years of relevant experience. </li><li>Understanding of (or interest in) HR domain areas and metrics (such as talent acquisition, compensation, performance, learning and development, and HR metrics). </li><li>Deep foundational knowledge of statistical modeling and machine learning concepts. </li><li>Expertise with Python (at least 5 years). </li><li>Proficiency with data transformation using SQL or similar data querying language. </li><li>Experience using version software control (e.g. git) with a team of collaborators. </li><li>Experience using cloud-based data science tools – i.e. AWS, Azure, DataBricks, Spark/PySpark. </li><li>Fluency in translating business problems into questions that can be answered via analytic methods. </li><li>Experience collaborating on projects with multiple teams, managing relationships, and communicating findings to audiences. </li><li>Must have the ability to obtain and maintain a security clearance. US Citizenship is a prerequisite. </li> </ol>Preferred Qualifications: <ol><li>Degree in a quantitative field (engineering, mathematics, statistics, computer science, etc.) is preferred. </li><li>Experience with Monte Carlo simulation, time series modeling, or probabilistic modeling. </li><li>Proven experience putting models into production. </li><li>Experience interfacing and presenting to executive audiences. </li><li>Experience communicating insights through data-journalism. </li> </ol>Salary Range: $137,400 - $206,000 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. #J-18808-Ljbffr

<h3>A little about us:</h3>The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.<h3>A day in the life:</h3>We're looking for a Principal Data Scientist to support a program which leverages Natural Language Processing for analysis. As part of a dynamic team of Data Scientists, Developers and Cloud Architects, you will have the opportunity to develop many prototypes, test proof-of-concepts, and have the unique freedom to bring forth your own original ideas in direct support and alignment of specific customer needs and enterprise tradecraft. Development will be performed in an Open-Source environment where you will have direct access to the commercial cloud, tools, libraries and other necessary resources for the software development process.As a Principal Data Scientist, you will be part of a fast-paced environment to support immediate mission needs. This exciting opportunity presents the challenging responsibility of developing critical applications and systems for end-to-end data engineering capabilities to include aggregation, analytics, summarization and visualization on both large structured and unstructured datasets. In this particular role, you will work closely with a variety of individuals while effectively advising, communicating and presenting your findings to multiple stakeholders in multiple disciplinary areas:<ol><li>Data Architecture: Become an expert in characterizing, identifying and cataloging disparate datasets across multiple networks, systems and repositories while leveraging analytic/statistics for discovery and insight.</li><li>Data Engineering: Apply streaming and storage strategies for data-in-transit and data-at-rest respectively. Design and implement high-performance and efficient data catalogs and structures for maximal throughput and minimal overhead for queries and other types of interactions with large datasets.</li><li>Data Science: Apply natural language processing and machine learning/AI advanced techniques to train and optimize models for automating analysis, processes and insight. Deploy these trained models and processes to work on production at scale while leveraging the amenities of a commercial cloud environment - e.g. automatic scaling of the deployment and runtime of prototypes and workflows to distributed clusters.</li><li>Data Visualization: Create visualizations using custom-developed dashboards and/or industry standard commercial platforms to present actionable insights and interactive interfaces.</li></ol><h3>What you bring to the table:</h3>Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.All of our data scientists need the following skills:<ul><li>Proficiency with a scripting language such as R or Python</li><li>Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.</li><li>A B.S. Degree in Data Science, Mathematics, Computer Science or related field.</li><li>For entry-level data scientists, 0-3 years of experience on Data Science projects.</li><li>For mid-level data scientists, 3-6 years of experience on Data Science projects.</li><li>For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.</li><li>A TS/SCI with Polygraph security clearance.</li></ul>For this particular role, you will also need:<ul><li>16+ years experience in a similar work environment using the described technologies below. Any combination of the following acceptable criteria will be considered for work experience equivalence: Professional work experience history; Relevant technical certifications; Undergraduate degree in Computer Science, Information Systems, Engineering, Business, or a related field in a technical/scientific discipline; Graduate degree in a related field or discipline; Doctorate in a related field or discipline.</li><ul><li>Python development with expertise in Python data packages: pandas, numpy, scipy, gensim, scikit-learn</li><li>Experience with ML technologies - TensorFlow, PyTorch, Jupyter notebooks, etc.</li><li>Programming experience with implementation of machine learning models on textual data and structured datasets</li><li>Experience with working on data visualization technologies - Kibana, Bokeh, Leaflet/Folium, Tableau, Splunk, etc.</li><li>Development experience in commercial cloud environments - Amazon Web Service, Azure, etc.</li><li>Experience with ElasticSearch indexes, SQL data repositories - structured and unstructured</li><li>Experience with data workflow frameworks - Apache NiFi</li><li>Familiarity with industry best practices for Agile software development, automated testing, and continuous integration</li></ul></ul>These are important skills to have, but not necessarily mandatory:<ul><li>AWS Cloud development and infrastructure management</li><li>Master’s degree or higher education in Computer Science, Mathematics, Data Science, Statistics or a related field or discipline</li><li>Demonstrated professional experience with computer networks, digital forensics and cybersecurity</li></ul><h3>The total package:</h3>Our total compensation package was strategically designed with our members in mind with the intention to reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our <a href="#">benefits</a> tab for additional information.Salary Range:<ul><li>Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself.</li><li>Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is $190,000 - $250,000.</li></ul>Some of our additional perks and benefits include:<ul><li>Retire sooner than planned: Get closer to retirement with up to 12% in 401k contributions, no match required and immediate vesting.</li><li>Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.</li><li>Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forget free access to a fully equipped state of the art gym!</li><li>Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.</li><li>Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.</li><li>Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in addition to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!</li></ul>Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!
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<div>We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. <a href="#">Learn more about our flexible approach to where we work.</a></div>OVERVIEW About the Role This is a general posting for multiple Sr. Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. With regards to level, we have flexibility. Your level will be determined by your education, years of experience, and most importantly, how you perform throughout the interview process. If you're targeting a senior title, you'll need to prove to the team that you're operating at that level. About the Team You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization. ABOUT THE JOB <ul> <li>Own analytical frameworks that guide the product roadmap</li> <li>Design rigorous experiments and interpret results to draw detailed and actionable conclusions</li> <li>Develop statistical models to extract trends, measure results, and predict future performance of our product</li> <li>Build simulations to project impact of various product and policy interventions</li> <li>Enable objective decision making across the company by democratizing data through dashboards and other analytical tools</li> <li>Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart</li> <li>Present findings in a compelling way to influence Instacart’s leadership</li> </ul> ABOUT YOU Minimum Qualifications <ul> <li>6+ years experience working in a quantitative role at a product company or a research organization</li> <li>Ability to run rigorous experiments and come up with scientifically sound recommendations</li> <li>Ability to write complex, efficient, and eloquent SQL queries to extract data</li> <li>Ability to write efficient and eloquent code in Python or R</li> <li>A desire to build and improve consumer software products</li> <li>Ability to translate business needs into analytical frameworks</li> <li>Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company</li> </ul> Preferred Qualifications <ul> <li>Awareness of business trade offs when working on a multi-sided marketplace</li> <li>Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level</li> <li>MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field</li> </ul> OPEN ROLES: Commerce Platform This team is a key player in driving affordability for Instacart, through the promotion & adoption of retailer loyalty & discount programs. On this team, you'll engage in pricing optimizations at item, category, retailer, and geo levels to foster long-term customer growth. You'll evaluate the effects of the platform's performance improvements, such as latency reduction for ordering and invoicing. Growth & Marketing Tech Instacart's marketing data science team serves as thought partners and problem solvers for the Growth and Marketing orgs, supporting our broader mission to give everyone access to the food they love. We are responsible for understanding the end to end scope of growth marketing, including how marketing shapes and impacts customer behavior both today and in the long run, the efficiency and performance of any marketing technology we utilize, and what the highest ROI investments are in both marketing and marketing technology. We synthesize our insights and knowledge into actionable tactics, optimizations, and strategy within marketing. Marketplace Balancing & Coordination We are looking for an experienced data scientist with a background in complex and dynamic marketplace problems. The successful candidate will take on a leading role working on Instacart’s core marketplace problems including shopper pay and incentives, marketplace balancing, and experimentation. The role will partner with senior product managers and engineers to tackle analytical, experimental, and inferential problems to understand and expand the efficient frontiers of a balanced, sustainable, and resilient multi-sided marketplace. New Bets The New Bets Data Science team exists to provide data-driven insights and strategic guidance around Instacart’s most promising emerging initiatives, collectively known as "new bets”. You will play a critical role in supporting these exciting new bets, including Instacart Business and Health, by establishing data foundations, discovering new opportunities, and evaluating success using your business judgement and experimentation. The position requires a scrappy, "startup-like" mindset, as you will partner closely with self-directed teams forming new business lines all while leveraging the knowledge and systems of Instacart's established marketplace.#LI-RemoteInstacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy <a href="#">here</a>. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings <a href="#">here</a>. For US based candidates, the base pay ranges for a successful candidate are listed below.CA, NY, CT, NJ: $185,000 — $230,000 USDWA: $177,000 — $221,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI: $170,000 — $212,000 USDAll other states: $153,000 — $191,000 USD
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What you'll do... Position: Staff Data Scientist
Job Location: 10790 Parkridge Blvd, Reston, VA 20191
Duties:
Data Source Identification: support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data.
Data Strategy: understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function.
Model Assessment and Validation: Identify the model evaluation metrics. Apply best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles.
Data Visualization: generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications.
Present to and influence the team and business audience using the appropriate data visualization frameworks and convey clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverage rational arguments.
Guide and mentor junior associates on story types, structures, and techniques based on context.
Understanding Business Context: Provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and align to overall business strategy and develop domain specific artifacts.
Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work.
Tech. Problem Formulation: translate/ co-own business problems within one's discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and give examples to demonstrate how the method would solve the business problem.
Analytical Modeling: select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets. Select and develop variables and features iteratively based on model responses in collaboration with the business. Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Identify dimensions and designs of experiments and create test and learn frameworks.
Interpret data to identify trends to go across future data sets. Create continuous, online model learning along with iterative model enhancements. Develop newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets.
Guide the team on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with unstructured and multiple data sets (for example, streaming data, raw text data).
Model Deployment and Scaling: deploy models to production. Continuously log and track model behavior once it is deployed against the defined metrics. Identify model parameters which may need modifications depending on scale of deployment.
Code Development and Testing: write code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Create test cases to review and validate the proposed solution design. Create proofs of concept. Test the code using the appropriate testing approach.
Minimum education and experience required: Master’s degree or the equivalent in Statistics, Mathematics, Computer Science, or a related field plus 2 years of experience in analytics or a related field OR Bachelor’s degree or the equivalent in Statistics, Mathematics, Computer Science, or a related field plus 4 years of experience in analytics or a related field OR 6 years of experience in analytics or a related field.
Skills required: Must have experience with: Coding in an object-oriented programming language such as Python, C++, or Java; Implementing backend structures, microservices, and web services using Python frameworks like Fast API and Plotly Dash; Testing microservices and model pipelines using tools such as pytest; Developing and debugging machine learning models; Selecting appropriate datasets and cleaning data to meet data requirements; Manipulating and drawing insights from large datasets using Python packages like NumPy, SciPy, and Pandas; Querying and analyzing large datasets, optimizing complex queries using advanced knowledge of distributed datastores such as SQL and NoSQL in platforms like Azure, Google Cloud Platform (GCP), Data Bricks, Teradata, and Microsoft SQL Server; Data visualization using tools like Matplotlib, Pyplot, ggplot2, Tableau, and Power BI; Generating appropriate graphical representations of data and model outcomes; Conducting statistical analysis, including hypothesis testing and statistical inference, using Python, R, and SQL; Machine learning concepts and the ability to select appropriate models for estimation and evaluation; Feature construction and feature selection for modeling; NLP embedding models in frameworks like Tensor flow, Keras, or PyTorch to reveal insights hidden within large volumes of textual data; Applying deep learning methods and neural networks using frameworks like PyTorch, Tensor flow, or Mx Net; Improving upon existing machine learning methodologies by fine-tuning model parameters using optimization techniques like Hyper opt, Optuna, and scikit-learn; Building scalable data pipelines and extract load and transfer (ETL) jobs using pipeline tools like Airflow and Luigi, and large-scale computing systems like Hadoop, Spark, and Hive; MLOps practices including good design documentation, unit testing, integration testing and source code control (git), CI/CD development environments and tools like Jenkins, Circle CI; Cloud services like AWS or Azure or GCP; and Influencing and advocating for the adoption of AI solutions to address complex problems in various domains, with a focus on engaging end-users, customers, and associates to drive business outcomes.
Wal-Mart is an Equal Opportunity Employer.

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