Senior Data Scientist jobs at Zoominfo

Are you an experienced Data Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Engineer to work at their company in Bloomington, MN. Primary Responsibilities/Accountabilities: Develop and maintain scalable ETL/ELT pipelines using Databricks and Airflow. Build and optimize Python-based data workflows and SQL queries for large datasets. Ensure data quality, reliability, and high performance across pipelines. Collaborate with cross-functional teams to support analytics and reporting requirements. Monitor, troubleshoot, and improve production data workflows. Qualifications: Strong hands-on experience with Databricks, Python, SQL, and Apache Airflow. 6-10+ years of experience in Data Engineering. Experience with cloud platforms (Azure/AWS/GCP) and big data ecosystems. Solid understanding of data warehousing, data modelling, and distributed data processing.

If you seek a rewarding, high profile and challenging position supporting projects for the US Navy, Serco has a great opportunity for you! This position will be on a dynamic team, supporting Direct Reporting Program Manager for the Maritime Industrial Base (DRPM MIB). Bring your expertise and collaborative skills to make an impact on our military defense and safety of our sailors. This position is contingent upon your ability to obtain/maintain/transfer an active DoD Secret security clearance. This is a Hybrid opportunity in the National Capital Regiona/Washington, DC. The acquisition of COLUMBIA Class Submarines and for identifying, assembling, managing, directing, and coordinating the resources required for the R&D, design, construction, Test and Evaluation (T&E) and Live Fire Test and Evaluation (LFT&E) of the class. The program is a major defense acquisition program and is of significant political importance with Congress and the Office of the Secretary of War. The acquisition of VIRGINIA Class Submarines and for identifying, assembling, managing, directing, and coordinating the resources required for the R&D, design, construction, Test and Evaluation (T&E), Live Fire Test and Evaluation (LFT&E), and Fleet introduction of the U.S. Navy's newest class of nuclear attack submarines. The program is a major defense acquisition program with a total life cycle cost of approximately $336B. Additionally, successful improvement of the Class' capabilities is of significant political importance with Congress and the Office of the Secretary of War. The SSN(X) Office is responsible for the acquisition and design of the future fast attack submarine and for identifying, assembling, managing, directing, and coordinating the resources required for the R&D, design, construction, Test and Evaluation (T&E) and Live Fire Test and Evaluation (LFT&E) of the future submarine. The future Attack Submarine will be designed to retain multi-mission capability and sustained combat presence in denied waters with a focus on greater speed, stealth, and horizontal payloads and salvo rates. Serco supports the US Navy as a prime for DRPM MIB contract supporting the acquisition of submarines and surface vessels. The DRPM MIB concept unifies once diverse submarine and surface vessel-related activities into a single organization with the goal of eliminating traditional stovepipe structures and processes that created impediments and inefficiencies in the research, development, acquisition, and maintenance communities. DRPM MIB provides improved communication among the various offices that contribute to the overall success of the Navy's submarine and surface type commanders. ****************************************************** Serco-NA is seeking a motivated individual to provide help to the Maritime Industrial Base (MIB) Data Team as a Data Scientist. Our Data Team manages a dynamic mix of in-house development teams and third party tool integration projects to deliver solutions that support the MIB program. We are a new and growing organization looking to implement processes that will grow with us and our customers' evolving demands. We are seeking an experienced Data Scientist to join our team supporting a program focused on delivering Supply Chain Risk Management (SCRM) solutions to our customers. The successful candidate will contribute to the development of data-driven insights and analytic solutions that help identify, assess, and mitigate risks in complex supply chains.. You will partner closely with Product Owners, the Data Director, and other stakeholders to maintain delivery cadence, transparency, and accountability. A majority of the team is in Washington DC, but remote work is available with periodic travel to DC. Working hours are centered around Washington DC hours. As you may be partially remote, you must be a self-motivated person who can interface with leadership; identify issues with little guidance; develop and articulate a business plan; work with other companies to create statements of work with deliverables; take charge and drive your plan to success; and achieve actionable results that provide a return on investment. If your desire is to make a difference in the construction and sustainment of the US Navy, this position is ideal. This position may be filled remotely/hybrid as you work out of your home or travel to engage with stakeholders . In this role, you will: Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks. Apply statistical methods, machine learning, and predictive modeling to identify patterns, anomalies, and potential risks. Write clean, efficient, and well-documented code in Python leveraging data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow). Query, manipulate, and analyze structured and unstructured data from databases (SQL, NoSQL, Hive, etc.). Support data ingestion, processing, and visualization workflows to deliver actionable insights to government stakeholders. Collaborate with a cross-functional team of analysts, data engineers, front-end developers, and subject matter experts to deliver mission-critical solutions. Present findings through reports, dashboards, and briefings to both technical and non-technical audiences. Report progress and metrics to the Data Director and other senior stakeholders. Provide program, analytical, and acquisition management support to senior level MIB executives as required. Demonstrate strong problem-solving skills and the ability to communicate technical insights clearly Work with the MIB team, which is spread across the United States focused on workforce development/marketing, supply chain/sustainment, and technology developments. Assist in drafting information papers in response to Congressional inquiries. Provide input to Report to Congress regarding MIB spend goals and associated return on investment. Travel as required to carry out the duties above. Qualifications To be successful in this role, you will have: This position is contingent upon your ability to obtain/maintain/transfer an active DoD Secret security clearance. Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field plus 5 years of hands-on experience in data science, analytics, or applied machine learning. OR a Master's degree and 3 years of hands-on experience in data science, analytics, or applied machine learning. 1 year of hands-on experience in data science, analytics and artificial intelligence/applied machine learning (AI/ML) is required. Strong proficiency in Python and core data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow) is required. Experience querying, manipulating, and analyzing structured and unstructured data from databases (SQL and/or NoSQL) is required. Experience developing and implementing data science solutions to analyze large and complex datasets. Demonstrated experience presenting findings through reports, dashboards, and briefings to both technical and non-technical audiences. Experience with databases (SQL and/or NoSQL) for querying and analysis. Strong problem-solving skills and the ability to communicate technical insights clearly. Background or coursework in Supply Chain Management, Logistics, or Risk Analysis is preferred Experience with big data tools (Hadoop, Spark, Hive, etc.) is preferred Familiarity with government contracting or defense-related projects is preferred. Experience developing in Cloudera Data Science Workbench (CDSW) is preferred. Industrial Base/Supply Chain/Workforce knowledge is preferred. Experience/knowledge of the maritime industrial base is a plus, although not necessary. An outstanding communication skills, both written and oral. You will be interacting with industry and senior leadership. Customer-oriented team player focused on mission who is self-motivated, driven and can work independently and remotely. To be able to travel 10%. If you are interested in supporting and working with our military and sailors and a passionate Serco team - then submit your application now for immediate consideration. It only takes a few minutes and could change your career! Company Overview Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: ************************************************************ If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice. Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email *********************. Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Pay Transparency Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements. Salary range: The range for this position can be found at the top of the posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities. Benefits HIGHLIGHTS - Comprehensible Benefits for Full-time Employees (Part-time members receive a customized package tailored to their role). Medical, dental, and vision insurance Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract 401(k) plan that includes employer matching funds Tuition reimbursement program Life insurance and disability coverage Optional coverages you can buy, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Employee Assistance Plan that includes counseling conditions Specific benefits are dependent upon the specific contract as well as whether the position is covered by a collective bargaining agreement or the Service Contract Act. To review all Serco benefits please visit: ****************************************** Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. This is a U.S.-based role. If an applicant has any concerns with job posting compliance, please send an email to: ********************.

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; San Jose, CA, USA. Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience working autonomously, acting as a product owner to deliver results for global teams. Experience in an inter-disciplinary/cross-functional field with an interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation. Ability to translate analysis results into business recommendations, and excellent communication skills. About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The Android and Business Communication (ABC) Data Science (DS) team's mission is to Power ABC products decisions with Data Science. The team solves complex business problems using quantitative methods to influence organizational strategy. The ABC DS team provides investigative leadership across three key product pillars: Consumer Messaging (Google Messages and Rich Communication Services (RCS), Messages business generation and Protection, and Calling including Telephony. Through our insights, we empower product teams to deliver high-quality, safe, and seamless communication experiences for billions of Android users. In this role, you will help serve Google Messages worldwide user base of over 2 billion people. You will provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. You will take the initiative as a data scientist, and apply your investigative and statistical toolkit to drive organizational and strategic decisions. Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Design and implement methodologies, dashboards and presentations partnering with stakeholders across multiple functions and locations. Provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. Serve as an analytics expert for your partners, using numbers to help them make better decisions. Weave stories with meaningful insight from data, making critical recommendations for your fellow Googlers in Engineering and Product Management. Use your investigative and statistical toolkit to tally up the numbers and communicate your findings to a team leader.

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA; Pittsburgh, PA, USA. Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Knowledge of financial forecasting, scenario analysis and risk assessment for Ads. Familiarity with global privacy regulations (e.g., General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Digital Markets Act (DMA)) and their implications relevant to technology companies. About the job The Ads Privacy and Safety team (APaS) is dedicated to fostering trust and transparency within the Google Ads ecosystem. This involves ensuring safety and respect for users, advertisers, and publishers by combating invalid traffic, promoting privacy-respecting business generation practices that empower user control, and advancing content understanding through human and machine intelligence. The APaS Data Science team plays a crucial role in safeguarding the integrity of Google's advertising platform. By focusing on data-driven objectivity, accountability, and user-centricity, this team develops unbiased frameworks to measure business health and deliver impact assessments across key areas like risk, business, and user trust. They proactively counter threats by enabling precise measurement and ensuring the focus remains on the right problems. Through close partnerships across APaS, the team provides continuous measurement and influences strategic decisions with objective insights. As a Senior Data Scientist, you will join our Ads privacy and regulations team. In this crucial role, you will drive data-driven decision-making to ensure regulatory compliance and unlock growth opportunities within Google Ads, safeguarding billions in business while enhancing user trust. You will be a key player in navigating the complex landscape of privacy laws and regulations, developing quantitative models and frameworks that enable Google Ads to adapt and grow. You will be responsible for analyzing the impact of evolving regulations, quantifying risks and opportunities, and generating actionable insights that inform product development, policy adjustments, and using user preference and consented signals effectively for Ads targeting. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Partner with cross-functional teams and deliver data driven insights to stakeholders across Ads, focusing on advertiser, publisher, and user trust and experience. Develop and implement quantitative frameworks to assess the impact of Ads safety, traffic quality, user privacy and regulatory compliance on Ads business, user experience, and product capabilities. Identify areas for optimization in response to evolving trends in the Ads industry and develop models to improve product features against business impact and new threats. Build and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical need. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.

_corporate_fare_ Google _place_ Kirkland, WA, USA; Mountain View, CA, USA; +3 more; +2 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Kirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA; Pittsburgh, PA, USA** . **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree. **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + Knowledge of financial forecasting, scenario analysis and risk assessment for Ads. + Familiarity with global privacy regulations (e.g., General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Digital Markets Act (DMA)) and their implications relevant to technology companies. **About the job** The Ads Privacy and Safety team (APaS) is dedicated to fostering trust and transparency within the Google Ads ecosystem. This involves ensuring safety and respect for users, advertisers, and publishers by combating invalid traffic, promoting privacy-respecting business generation practices that empower user control, and advancing content understanding through human and machine intelligence. The APaS Data Science team plays a crucial role in safeguarding the integrity of Google's advertising platform. By focusing on data-driven objectivity, accountability, and user-centricity, this team develops unbiased frameworks to measure business health and deliver impact assessments across key areas like risk, business, and user trust. They proactively counter threats by enabling precise measurement and ensuring the focus remains on the right problems. Through close partnerships across APaS, the team provides continuous measurement and influences strategic decisions with objective insights. As a Senior Data Scientist, you will join our Ads privacy and regulations team. In this crucial role, you will drive data-driven decision-making to ensure regulatory compliance and unlock growth opportunities within Google Ads, safeguarding billions in business while enhancing user trust. You will be a key player in navigating the complex landscape of privacy laws and regulations, developing quantitative models and frameworks that enable Google Ads to adapt and grow. You will be responsible for analyzing the impact of evolving regulations, quantifying risks and opportunities, and generating actionable insights that inform product development, policy adjustments, and using user preference and consented signals effectively for Ads targeting. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Partner with cross-functional teams and deliver data driven insights to stakeholders across Ads, focusing on advertiser, publisher, and user trust and experience. + Develop and implement quantitative frameworks to assess the impact of Ads safety, traffic quality, user privacy and regulatory compliance on Ads business, user experience, and product capabilities. + Identify areas for optimization in response to evolving trends in the Ads industry and develop models to improve product features against business impact and new threats. + Build and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical need. + Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google 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, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; San Jose, CA, USA. Minimum qualifications: * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree). Preferred qualifications: * Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). * Experience working autonomously, acting as a product owner to deliver results for global teams. * Experience in an inter-disciplinary/cross-functional field with an interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation. * Ability to translate analysis results into business recommendations, and excellent communication skills. About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The Android and Business Communication (ABC) Data Science (DS) team's mission is to Power ABC products decisions with Data Science. The team solves complex business problems using quantitative methods to influence organizational strategy. The ABC DS team provides investigative leadership across three key product pillars: Consumer Messaging (Google Messages and Rich Communication Services (RCS), Messages business generation and Protection, and Calling including Telephony. Through our insights, we empower product teams to deliver high-quality, safe, and seamless communication experiences for billions of Android users. In this role, you will help serve Google Messages worldwide user base of over 2 billion people. You will provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. You will take the initiative as a data scientist, and apply your investigative and statistical toolkit to drive organizational and strategic decisions. Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Design and implement methodologies, dashboards and presentations partnering with stakeholders across multiple functions and locations. * Provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. * Serve as an analytics expert for your partners, using numbers to help them make better decisions. * Weave stories with meaningful insight from data, making critical recommendations for your fellow Googlers in Engineering and Product Management. * Use your investigative and statistical toolkit to tally up the numbers and communicate your findings to a team leader.

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA; Pittsburgh, PA, USA. Minimum qualifications: * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree. Preferred qualifications: * Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * Knowledge of financial forecasting, scenario analysis and risk assessment for Ads. * Familiarity with global privacy regulations (e.g., General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Digital Markets Act (DMA)) and their implications relevant to technology companies. About the job The Ads Privacy and Safety team (APaS) is dedicated to fostering trust and transparency within the Google Ads ecosystem. This involves ensuring safety and respect for users, advertisers, and publishers by combating invalid traffic, promoting privacy-respecting business generation practices that empower user control, and advancing content understanding through human and machine intelligence. The APaS Data Science team plays a crucial role in safeguarding the integrity of Google's advertising platform. By focusing on data-driven objectivity, accountability, and user-centricity, this team develops unbiased frameworks to measure business health and deliver impact assessments across key areas like risk, business, and user trust. They proactively counter threats by enabling precise measurement and ensuring the focus remains on the right problems. Through close partnerships across APaS, the team provides continuous measurement and influences strategic decisions with objective insights. As a Senior Data Scientist, you will join our Ads privacy and regulations team. In this crucial role, you will drive data-driven decision-making to ensure regulatory compliance and unlock growth opportunities within Google Ads, safeguarding billions in business while enhancing user trust. You will be a key player in navigating the complex landscape of privacy laws and regulations, developing quantitative models and frameworks that enable Google Ads to adapt and grow. You will be responsible for analyzing the impact of evolving regulations, quantifying risks and opportunities, and generating actionable insights that inform product development, policy adjustments, and using user preference and consented signals effectively for Ads targeting. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Partner with cross-functional teams and deliver data driven insights to stakeholders across Ads, focusing on advertiser, publisher, and user trust and experience. * Develop and implement quantitative frameworks to assess the impact of Ads safety, traffic quality, user privacy and regulatory compliance on Ads business, user experience, and product capabilities. * Identify areas for optimization in response to evolving trends in the Ads industry and develop models to improve product features against business impact and new threats. * Build and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical need. * Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.

ECS is searching for an exceptional Senior Data Scientist to join our mission-critical team supporting our government customer at Joint Base Lewis-McChord, WA. This isn't just another data science role-it's an opportunity to transform raw data into actionable insights that directly impact national security operations and warfighter support. * Requires final acceptance by the Prime contractor and government customer. Validation of required clearances upon acceptance and approval from a cognizant government contracting officer. After customer indoctrination, the candidate will be submitted for a Counterintelligence Polygraph. In an era where geospatial intelligence drives critical decisions, you'll architect innovative data solutions that help analysts see patterns others miss, anticipate threats before they materialize, and deliver the GEOINT advantage our nation depends on. Your work will directly enable our customers mission to provide timely, relevant, and accurate data in support of military and national security objectives. Value Proposition: * Immediate Impact: Your solutions go into production, supporting real-world intelligence operations-not trapped in endless development cycles. * Technical Freedom: Lead the architectural direction. We trust senior talent to identify the right tools, frameworks, and approaches without bureaucratic constraints. * Innovation Culture: We invest in emerging technologies-AI/ML, automation, advanced analytics-and empower our team to implement them where they add mission value. * Elite Collaboration: Work alongside some of the most talented geospatial analysts, data engineers, and intelligence professionals in the community. As a Senior Data Scientist, you'll serve as a technical leader and trusted advisor, bridging the gap between complex requirements and elegant technical solutions: Core Responsibilities: * Architect Solutions, Not Just Code Design and implement end-to-end data science architectures that process multi-INT data streams at scale. You'll build automated pipelines that transform terabytes of structured and unstructured data into mission-critical intelligence products. * Lead Through Expertise Serve as the Subject Matter Expert for advanced analytics, mentoring team members while maintaining hands-on technical contributions. Your insights will shape program direction and capability roadmaps. * Innovate Continuously Research, prototype, and deploy cutting-edge analytical methodologies. Apply machine learning, network analytics, and advanced statistical techniques to solve intelligence problems that have never been solved before. * Deliver Clarity from Complexity Create sophisticated data visualizations and analytics dashboards that enable analysts to explore massive datasets intuitively, revealing patterns and relationships that drive intelligence assessments. * Drive Mission Success Partner directly with customer stakeholders, understanding their intelligence questions and translating them into technical requirements. Your solutions will directly support critical intelligence operations. * Technical Focus Areas * Geospatial Analytics: Advanced spatial analysis, pattern detection, and predictive modeling using GEOINT datasets * Multi-INT Fusion: Integrate and analyze data across GEOINT, SIGINT, OSINT, and other intelligence disciplines * Automation & Scale: Build production-grade Python solutions that handle massive data volumes with efficiency and reliability * Visual Intelligence: Develop interactive dashboards and network analytics that transform complex data into actionable insights * AI/ML Applications: Implement machine learning models for classification, clustering, anomaly detection, and predictive analytics. The candidate must have previous experience in ABI tradecraft as well and the ability to produce finished products that adhere to NGA and DNI standards. Salary Range: $100,000 - $150,000 General Description of Benefits * US Citizen. * Active TS/SCI security clearance required to apply; must be able to pass a CounterIntelligence (CI) polygraph following customer indoctrination. * High School Diploma and 10+ years of relevant experience; alternatively, a Bachelors / Masters degree in a related field of study or a combination of military (10+ years), experience, training or certifications. * Proven track record supporting Intelligence Community missions in operational environments. * Senior-level proficiency in Python for data science, automation, and analytics pipeline development. * Experience architecting solutions for large-scale structured and unstructured datasets. * Hands-on experience with COTS platforms (Tableau, MATLAB, MapLarge) and GOTS capabilities for advanced statistical analysis. * Demonstrated experience building, maintaining, and querying complex databases. * Deep understanding of intelligence analysis workflows and how data science enables mission success. * Experience conducting multi-INT research and analysis to support operational requirements. * Ability to identify capability gaps and architect innovative technical solutions. * Proven ability to lead technical teams and mentor data scientists. * Exceptional communication skills-translating complex technical concepts for non-technical stakeholders. * Independent operator comfortable working in ambiguous, fast paced environments.

Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Staff Data Scientist Opportunity We are seeking a highly experienced Data Scientist to lead the strategy, development, and operationalization of advanced analytics and predictive insights that power our Go-To-Market (GTM) motion. This role will operate as a senior technical and thought leader within the Enterprise Data & Insights organization, helping steer the evolution of data science capabilities across the company. You will be responsible for architecting scalable data science solutions that influence revenue, pipeline performance, customer value, and strategic business decisions. This includes setting the long-term data science roadmap, shaping platform and tooling choices, and implementing robust MLOps practices to ensure repeatability, governance, and operational excellence. A key part of this role will be enabling a future-state citizen data science model through the creation of extensible frameworks, reusable assets, and self-service capabilities. This is a high-visibility, impact-driven role that blends technical depth, product thinking, stakeholder partnership, and organizational leadership. What you'll be doing * Data Science Strategy & Leadership * Own the end-to-end data science vision and multi-year roadmap, aligning with GTM, Sales, Marketing, Customer Success, and Executive leadership. * Define and drive the evolution of the data science platform, including model development environments, feature stores, ML pipelines, and production deployment frameworks. * Establish and oversee MLOps standards, ensuring reproducibility, model monitoring, versioning, performance tracking, and continuous improvement cycles. * Lead governance frameworks for responsible and transparent ML usage across the organization. * Advanced Analytics & Predictive Modeling * Build, deploy, and scale predictive models and optimization frameworks that impact revenue generation, pipeline health, customer engagement, and churn/retention. * Develop advanced analytics solutions including lead scoring, propensity to buy, churn and risk identification, and deeper insights and correlation analysis on company key performance indicators. * Partner closely with GTM leadership to translate business goals into analytical solutions and communicate complex findings in clear, business-centric terms. * Technical Architecture & Full-Stack Development * Architect and implement full-stack data science workflows: data discovery, feature engineering, modeling, validation, deployment, performance measurement, and iteration. * Collaborate with data engineering to shape the data ecosystem (databases, pipelines, feature stores, compute infrastructure) required for scalable ML. * Deliver reusable libraries, templates, and tools to support a democratized, self-service analytics environment. * Evangelism & Enablement * Mentor and guide data scientists, analysts, and cross-functional teams on ML best practices, capabilities, and opportunities. * Drive the foundation of a citizen data science program, enabling non-technical teams to leverage ML-powered insights safely and effectively. * Represent data science across executive forums, cross-functional initiatives, and enterprise programs. What you'll bring to the role * 7+ years of experience as a data scientist or machine learning practitioner, with at least 3-5 years in a senior or staff-level leadership role. * Proven experience building full-stack data science solutions - from data ingestion and feature generation to model deployment and monitoring. * Deep expertise in: * Machine learning algorithms (supervised/unsupervised, NLP, forecasting, optimization) Statistical modeling and experimental design * Python and relevant ML libraries (scikit-learn, TensorFlow/PyTorch, XGBoost, etc.) SQL and distributed data technologies * Strong fluency with cloud-based analytics stacks (AWS, Azure, or GCP) and modern ML platforms (Databricks, SageMaker, Vertex AI, MLflow, etc.). * Hands-on experience implementing MLOps, CI/CD for ML, and automated training/deployment pipelines. * Excellent communication skills, with a proven ability to translate analytical insights into business impact. * Demonstrated success influencing and partnering with Sales, Marketing, GTM Operations, or Customer Success organizations. And extra credit if you have experience in any of the following! * Experience in a high-growth SaaS, cybersecurity, identity, or enterprise software environment. * Prior ownership of ML platform decisions and tooling evaluations. * Experience building or enabling self-service analytics or citizen data science capabilities. * Familiarity with GTM analytics concepts such as funnel modeling, pipeline forecasting, account scoring, customer lifetime value (CLV), and revenue intelligence. #LI-MC1 #LI-Hybrid #P8173_3312145 The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $174,000-$262,000 USD Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: **************************** The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$156,000-$234,000 USD What you can look forward to as a Full-Time Okta employee! * Amazing Benefits * Making Social Impact * Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! ************************************** Some roles may require travel to one of our office locations for in-person onboarding. Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at ********************************************* U.S. Equal Opportunity Employment Information Read more Individuals seeking employment at this company are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. When submitting your application above, you are being given the opportunity to provide information about your race/ethnicity, gender, and veteran status. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Pay Transparency Okta complies with all applicable federal, state, and local pay transparency rules. For additional information about the federal requirements, click here. 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This survey should take about 5 minutes to complete. Okta The foundation for secure connections between people and technology Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.

**Why UKG:** At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do. We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you. As a Lead Data Scientist in the Customer Value Advisory organization, you'll be the primary driver of our data initiatives, ensuring that UKG remains at the forefront of analytics innovation in WFM and HCM. In this role, you will: - Design and build data pipelines and predictive models using Python, SQL (BigQuery), and the latest AI models with Google Cloud Platform. - Engineer new data sources by collaborating cross-functionally to identify, ingest, and unify multiple datasets, unlocking advanced analytics and deep customer insights. - Create and refine machine learning and AI models that power real-world applications such as customer churn prediction, ROI modeling, and market benchmarking. - Lead projects end-to-end by defining objectives, managing timelines, and delivering robust solutions that demonstrate tangible value for our customers and internal stakeholders. - Mentor and guide other data scientists, sharing best practices in coding, model development, and stakeholder engagement. - Collaborate and consult with Value Consultants, Sales Engineers, and other Go-to-Market teams to ensure our data products accurately showcase the business value of UKG's offerings. - Provide expert support for strategic and ad hoc deal requests, including high-visibility presentations and direct or indirect customer-facing engagements. Technical & Business Balance: Comfortable building technical solutions (writing code, querying databases) and interpreting the results for a business audience. You can think through the technical details while keeping in mind the bigger picture and business value. _*This is a remote position however, the candidate must live within 75 miles of our Lowell, MA, headquarters_ About You **Basic Qualifications** - Undergraduate degree in a technical or quantitative field (e.g., Engineering, Computer Science, Mathematics, Physics) or equivalent experience. - 5+ years proven experience in data engineering, data science, or a related discipline, with a track record of building, deploying, and maintaining analytical pipelines and predictive models. - 3+ years proven Proficiency in SQL and Python for data manipulation, transformation, modeling. **Preferred Qualifications** - Experience with cloud platforms such as Google Cloud Platform (GCP) (or AWS, Azure, etc.) for data warehousing, model deployment, or analytics at scale. - Familiarity with advanced AI/ML concepts, including NLP or generative AI. - Exposure to real-world data projects (SaaS, HR, or workforce management environments is a plus). - Leadership or mentorship background, guiding junior data scientists on project deliverables and professional development. - Strong communication skills for explaining technical concepts and analytical insights to both business and technical stakeholders. - Passion for WFM/HCM and a desire to leverage data science to drive measurable business outcomes. Company Overview: UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com. Equal Opportunity Employer UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories. View The EEO Know Your Rights poster UKG participates in E-Verify. View the E-Verify posters here. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email ******************. The pay range for this position is $126,300 to $181,550, however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. Information about UKG's comprehensive benefits can be reviewed on our careers site at ********************************************* It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities: Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes. Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP. Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development. Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation. Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting. Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.). Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices. Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing. Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions. Required Qualifications: 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments. Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spa Cy, and/or Hugging Face. Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures. Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems. Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases. Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale. Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment. Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively. Preferred Qualifications: Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies. Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD). Certifications related to Epic, FHIR, or other health IT platforms are a plus. Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation. Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery. Benefits & Compensation: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

As a Data Scientist at Boston Dynamics, you will work to understand, measure and communicate insights about our business and products from telemetry and semi-structured databases. Your focus will be on modeling the performance and lifecycle of our products, drawing on manufacturing quality data, operational telemetry, service records, and ERP transactions. You will work with engineers and leaders from organizations across the company to define and craft analyses and dashboards that will have a direct and immediate impact on our customers and the business' operations. Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. For years, our awe-inspiring viral videos on YouTube have shown the world what remarkably capable robots can do. Now we are quickly becoming a recognized leader in automation solutions for industrial applications, logistics and warehouses. How you will make an impact: Discuss requirements for and implement analyses and visualizations with internal stakeholders. Collaborate with developers from the software and enterprise applications teams. Write SQL queries against existing product telemetry and business databases to produce structured data for analysis and visualization. Create ad-hoc analyses and visualizations as requested to answer specific questions. Present your findings to internal and external audiences. Create and maintain self-serve dashboards to empower engineers and leaders across the company to understand our business and products better. Recommend changes to how data is collected and stored to facilitate better future analyses. Develop and implement statistical models and machine learning algorithms to analyze robot telemetry, sensor data and log files. Desired skills: Strong SQL skills, specifically in a Snowflake environment. Strong Python and/or R skills (and the willingness to learn the other.) Experience with at least one dashboard platform like Power BI, Tableau, or Looker. Deep understanding of statistical analysis, experimental design and hypothesis testing. Excellent communication and data storytelling skills, with the ability to communicate with both technical and non-technical audiences. Nice to have skills: Working knowledge of mechanical components and design patterns Working knowledge of engineering materials and their properties Experience with control systems and algorithms Experience or knowledge of warehouse operations Experience in design or repair of industrial robots

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. A Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you're a fit? Submit your resume and we will contact you via email to let you know!

The Observability Data Platform (ODP) powers the core of Datadog's telemetry systems, handling exabytes of multimodal observability data. As AI agents become first-class consumers of telemetry, ODP is evolving to meet their demands - scaling with explosive data growth, exposing new query mechanisms, rethinking how telemetry is stored, transformed, and served, and enforcing guardrails that ensure security and reliability. Our team's new focus is to build an intelligent control plane for production systems. This involves moving beyond passive monitoring to create a platform where AI agents can safely and effectively take action in live environments. To achieve this, we are integrating techniques from symbolic reasoning, formal methods, and generative AI. We are looking for an experienced Senior Applied Scientist with a background that spans systems engineering, AI, and formal reasoning. You have expertise in areas like causal modeling, generative simulation, runtime verification, or reinforcement learning, and are motivated to apply these skills to build reliable systems. You will join the team behind Datadog's most ambitious projects: evolving observability infrastructure for stochastic, self-improving systems. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Design and prototype intelligent systems for AI-native observability, including cost-aware agent orchestration, adaptive query execution, and self-optimizing system components. Apply reinforcement learning, search, or hybrid approaches to infrastructure-level decision-making, such as autoscaling, scheduling, or load shaping. Collaborate with AI researchers and platform engineers to design experimentation loops and verifiers that guide LLM outputs using runtime metrics and formal models. Explore emerging paradigms like AI compilers, "programming after code," and runtime-aware prompt engineering to inform Datadog's infrastructure and product design. Help define the direction of BitsEvolve - Datadog's optimization agent that uses LLMs and evolutionary search to discover code improvements, optimize GPU kernels, and tune configurations to improve performance. Partner with product teams and platform stakeholders to ensure scientific advances translate into measurable improvements in cost, performance, and observability depth. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have 8+ years of experience in systems engineering, database internals, or infrastructure research, including hands-on experience in a production environment You have a strong software engineering foundation, ideally in C++, Rust, Go, or Python, and are comfortable writing performant, maintainable code You have deep expertise in at least one of the following areas: query optimization, data center scheduling, compiler design, reinforcement learning, or distributed systems design You have experience applying search, planning, or learning techniques to solve real-world optimization problems You are excited by systems that learn, adapt, and improve over time using feedback from runtime metrics and human-defined objectives You are hypothesis-driven and enjoy designing experiments and evaluation loops, whether through simulations, benchmarks, or live systems You thrive in ambiguity, enjoy reading papers and building prototypes, and want to help shape the future of infrastructure in the AI era You enjoy collaborating across research, engineering, and product to bring scientific insights to practical outcomes Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools, and more. When you join D&I, you're joining a team of passionate experts working to enable more profound understanding, better ways of working, and more meaningful experiences for our players. We're looking for a sharp, curious, and collaborative Data Scientist to join our Growth Analytics team. You'll work closely with media buyers to build models and experiments that inform our marketing strategy. Your insights will shape how we allocate budget, measure impact, and forecast performance across digital channels. You'll join a tight-knit team of five data scientists and will report directly to the Senior Manager of Data Science. This is a hybrid role with an expectation of 3 in-office days per week. The position is open to candidates based near any EA office in Canada. Responsibilities: * Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify the contribution of marketing channels * Design and analyze geo-based incrementality experiments and user-level re-engagement tests to measure the causal impact of marketing spend * Lead the design and analysis of retargeting experiments, applying A/B testing principles to evaluate incremental impact and guide campaign optimization * Develop budget optimization tools to support strategic decision-making * Create forecasting models (ie: Prophet) to project game performance * Translate model insights into actionable recommendations, collaborate closely with media buyers and presenting results and insights to stakeholders Qualifications: * Master's degree in a quantitative field (e.g., Statistics, Econometrics) and 2-5 years of experience in data science or analytics, ideally focused on marketing measurement or experimentation * Familiarity with MMMs, causal inference techniques (e.g. CausalImpact, Fixed Effect Regression), and experimental design * Strong experience with Python/R and SQL * Comfort working in a Bayesian modeling framework * Ability to communicate technical results to non-technical stakeholders COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$100,000 - $139,500 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$117,000 - $179,600 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$108,900 - $145,200 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

**MANTECH** seeks a motivated, career and customer-oriented **Senior** **Data Scientist** to join our team in **Patuxent River, MD.** This is a fulltime **onsite** position. **Responsibilities include but are not limited to:** + Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets + Visualize, interpret, and report data findings + Create dynamic data reports + Apply knowledge to develop and implement a set of techniques or analytics applications to transform raw data into information using data-oriented programming languages and visualization software + Travel up 10% **Minimum Qualifications:** + 8+ years of experience performing Data Scientist related work + Bachelor's degree in a technical or business discipline, or a High School Diploma and 14+ years of data scientist experience, or an Associate's degree and 12+ years of data scientist experience may be substituted in lieu of degree + Ability to conduct briefings to Senior Military & Civil Service personnel **Preferred Qualifications:** + 3+ years of experience supporting NAVAIR programs or related organizations + 2+ years of experience with utilization of the Synthetic Theater Operations Research Model (STORM) simulation model + Familiarity with the Naval Aviation Enterprise (NAE) organization and operations + Familiarity with NAVAIR Acquisition process **Clearance Requirements:** + Must be a U.S. Citizen and possess and active or current Secret clearance **Physical Requirements:** + The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations. MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at ******************* and provide your name and contact information.

Leverage advanced data analysis, statistical, and machine learning techniques to analyze large datasets (big data) from test results and logs, identifying patterns and trends to develop and implement data-driven solutions that align with strategic business objectives. *Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, Inc. office in Boston, MA. What You Will Do: Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from disparate sources. Develop and deploy machine learning and natural language processing (NLP) models on OpenShift and OpenShift AI, enhancing the productivity and efficiency of the Quality Engineering (QE) teams at Red Hat. Take ownership of MLOps responsibilities for both new and existing AI/ML applications, managing the end-to-end model lifecycle, including training, versioning, deployment, monitoring, and continuous improvement to ensure model reliability and scalability. Implement and optimize NLP embedding and inference models on OpenShift AI to deliver robust natural language understanding capabilities, leveraging cutting-edge techniques to enhance model performance and application effectiveness. Apply prompt optimization techniques such as few-shot learning, chain-of-thought prompting, and other advanced methods to improve model outputs and facilitate efficient model performance across various use cases. Implement RAG (Retrieval-Augmented Generation) and model tuning using InstructLab and RHEL AI, fine-tuning large language models for context-specific applications that improve responsiveness and deliver tailored insights to users. Design strategic roadmaps and develop, test, and maintain Python scripts to deploy machine learning models and data pipelines into production environments, ensuring high-quality standards and seamless integration with existing infrastructure. Analyze data to identify trends, anomalies, and key insights, documenting findings to support further investigation, continuous feedback loops, and improvements in model accuracy and application efficacy. Participate in the end-to-end AI/ML project lifecycle, including requirements gathering, workflow design, scheduling, and milestone setting to ensure projects meet delivery timelines and align with Red Hat's strategic goals. Strategize and oversee the AI/ML project lifecycle, ensuring comprehensive project execution in line with scope and timelines, and adjusting strategies based on feedback and evolving needs. Collaborate cross-functionally with the data science and QE teams to enhance data analytics, improve model functionality, and streamline development processes. Keep up with AI/ML developments and research papers, particularly in the Generative AI space. Access and maintain comprehensive databases of test results and log files from QE teams, ensuring that data pipelines remain accurate, secure, and accessible for analysis and model training. Monitor and visualize key metrics and defect logs using tools like Tableau, Splunk, Grafana and Kibana, creating intuitive dashboards and providing technical support to internal teams and customers to drive data-informed decision-making. Participate in an agile development team and experience working within an open-source community. Lead, coach and collaborate with junior engineers as they build AI/ML knowledge and skills. What You Will Bring: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Mathematics or related field and five (5) years of experience in the job offered or related role OR Master's degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Mathematics or related field and three (3) years of experience in the job offered or related role. Must have three (3) years of experience with: Python scripting language; SQL; statistical data analysis and visualization methodologies; classical machine learning modeling; natural language processing (NLP) models; and Docker, Airflow, CI/CD. Must have two (2) years of experience with: model deployment and MLops methodologies; and Openshift. Must have six (6) months of experience with: task management systems, including Jira or Monday; LLM model tuning and RAG methodologies; and Openshift AI. Must have six (6) months of experience applying and evaluating prompt optimization techniques. #LI-DNI The salary range for this position is $178,131 - $220,680. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Job Description Responsibilities: Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to support the Systems Engineering Department (SED) at Patuxent River Naval Air Station in Lexington Park, MD. The program is providing systems engineering support of weapons systems on various platforms including technical research and development of technologies, analysis, and documentation as part of the acquisition of Aircraft, Weapon, and Integrated Systems and the evaluation of their technical performance, mission suitability and associated acquisition risks throughout the full acquisition process and lifecycle of a program. Responsibilities: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Requirements Must have a bachelor's degree in a technical or scientific field from an accredited college or university. Must have a minimum of three (3) or more years of relevant work experience. Must have an active DoD Secret Clearance or higher. Must be a US Citizen What Your Experience Working for Us Will Be Like Ask any of our employees and they will tell you SSI is a great place to work with an upbeat and positive culture. We take pride in our work to continuously improve on our performance in a manner that enhances the mission of the agencies we serve while expanding opportunities for our employees and our company. About Synectic Solutions, Inc. (SSI) Synectic Solutions, Inc. (SSI), is an award-winning, 20-year government contracting agency focused on the areas of logistics, engineering, management, and information technology. SSI is a growing organization committed to exceeding customer expectations, to continually improving all products, services, and processes, and to perform all work with the commitment to upholding the highest standards and ethics. Ready to apply? If this job sounds like a fit for you, then click on the ‘apply' button below. Good luck! Powered by JazzHR HZu2Z1tG6N

Responsibilities: Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to support the Systems Engineering Department (SED) at Patuxent River Naval Air Station in Lexington Park, MD. The program is providing systems engineering support of weapons systems on various platforms including technical research and development of technologies, analysis, and documentation as part of the acquisition of Aircraft, Weapon, and Integrated Systems and the evaluation of their technical performance, mission suitability and associated acquisition risks throughout the full acquisition process and lifecycle of a program. Responsibilities: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Requirements Must have a bachelor's degree in a technical or scientific field from an accredited college or university. Must have a minimum of three (3) or more years of relevant work experience. Must have an active DoD Secret Clearance or higher. Must be a US Citizen What Your Experience Working for Us Will Be Like Ask any of our employees and they will tell you SSI is a great place to work with an upbeat and positive culture. We take pride in our work to continuously improve on our performance in a manner that enhances the mission of the agencies we serve while expanding opportunities for our employees and our company. About Synectic Solutions, Inc. (SSI) Synectic Solutions, Inc. (SSI), is an award-winning, 20-year government contracting agency focused on the areas of logistics, engineering, management, and information technology. SSI is a growing organization committed to exceeding customer expectations, to continually improving all products, services, and processes, and to perform all work with the commitment to upholding the highest standards and ethics. Ready to apply? If this job sounds like a fit for you, then click on the ‘apply' button below. Good luck!