Data Scientist jobs at Microsoft - 3569 jobs

A leading data analytics firm is looking for a Data Scientist for a 6-month remote contract, offering competitive pay of $50+/hour. The ideal candidate will hold a Ph.D. and possess over 3 years of experience in analytics, particularly in digital marketing and machine learning. Responsibilities include analyzing data with Python and SQL, managing quality data integration, and contributing to marketing mix models. This role is suited for those who thrive in a fast-paced, agile environment. #J-18808-Ljbffr

A leading tech company located in Mountain View, CA is seeking a Staff Product Data Scientist to enhance its advertising strategy. This role requires 10 years of analytics experience and a bachelor's degree in a relevant field. The successful candidate will leverage statistical analysis and coding expertise to deliver insights that shape significant business decisions within Google Ads, driving measurable results. Compensation ranges from $183,000 to $271,000, plus bonuses and equity, with opportunities for professional growth. #J-18808-Ljbffr

A leading technology company in Mountain View, CA is seeking a Data Analyst for Android Extended Reality (XR) development. The role involves providing quantitative support and analytics expertise to enhance product features and decision-making. The ideal candidate should have a Bachelor's in a quantitative field and 5 years of experience with coding in Python, R, and SQL. This full-time position offers a competitive salary ranging from $132,000-$189,000 plus bonuses and benefits, contributing to innovative spatial computing advancements. #J-18808-Ljbffr

corporate_fare Google place Mountain View, CA, USA Apply Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). 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. AMeasurement is a cornerstone of performance advertising, driving the majority of Google Ads business growth. Accurate and unbiased measurement empowers bidding engines to maximize advertiser ROI, fostering growth for both advertisers and Google. The Product Analyst team applies advanced analytics to guide Google Ads strategy in this crucial area, ensuring that our advertising solutions effectively connect businesses with customers and deliver measurable results across our ad platforms. The AIM Data Science team provides quantitative support, market understanding and a strategic perspective to our partners throughout the organization, in close collaboration with the Ads & Commerce Finance team. As the Staff Product Data Scientist for Enterprise Platforms, you will help drive the vision of how large advertisers buy Google and third party advertising inventory efficiently. You will be responsible for setting the team's strategic direction, managing stakeholder relationships. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $183,000-$271,000 + 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 Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presentation to stakeholders. Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. Directly or indirectly oversee the contributions of others and develop colleagues' capabilities in the area of specialization. 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 . 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. #J-18808-Ljbffr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 2+ years of experience with statistical and general-purpose programming languages for data analysis Experience analyzing structured and unstructured data sources Experience developing predictive data models, quantitative analyses and visualization of targeted data sources Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing Knowledge of text mining or machine learning techniques Ability to obtain a Secret clearance Bachelor's degree Nice If You Have 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL 2+ years of experience with Machine Learning, AI or NLP Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Experience with Business Intelligence (BI) or data visualization tools, such as Power BI, Tableau, or Qlik TS/SCI clearance with a polygraph Bachelor's degree in Computer Science, Data Science, Computer Engineering, Systems Engineering, or a related field preferred; Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Business Analytics, Computer Engineering, or Systems Engineering, or a related field a plus Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Health AI Data Scientist The Opportunity To achieve an organization's mission, leaders need strong team members who can design, implement, and maintain strategic data management processes. Whether completing an immediate task, recognizing a process gap, identifying key stakeholders, or flexing to support an emerging requirement, our clients need a specialist who can help manage operations while managing responses to external inquiries in a timely manner. That is why we need you, an experienced Scientific R&D Data Steward who can integrate applicable IT program management strategies to help various teams understand their vision and needs as pertaining to scientific data. As part of our team, you'll serve as a strategic technical specialist for the Advanced Research Projects Agency for Health (ARPA-H), helping conceptualize, create, and execute advanced government‑funded research and development programs to accelerate better health outcomes for everyone. You will work with world‑class scientists and engineers to support the development of high‑impact solutions to society's most challenging health problems. You'll leverage technical expertise to provide strategic assessments of new technologies in support to senior ARPA‑H decision makers. You will maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating commercialization of successfully developed technologies. You'll serve as a Scientific R&D Data Steward helping clients to develop IT management strategies, collaborate on leadership vision, develop stakeholder management strategies, and manage client's data requirements. You will be responsible for managing incoming requirements, advising on data governance standards, advising on scientific and healthcare data repositories, data types and tools, and advising on data standards. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem‑solving will enable the mission's success. This position is a Hybrid role with Booz Allen. Candidate is expected to work on‑site at a Booz Allen or Client Facility 20‑50% of your time, as needed. What You'll Work On Build IT and data project plans and roadmaps and manage data requirements in take pipeline and prioritization. Advise on scientific and healthcare data repositories, data types, or tools that could enhance programs and advise on data standards that will support the scientific vision and long‑term growth. Identify key stakeholders to collect pain points and requirements and socialize project plans to facilitate buy‑in from stakeholders. Identify cost efficiencies regarding data and technology infrastructure requirements. Maintain current scientific knowledge of emergent biomedical data types, technologies, and standards and identify ways that re‑use of data can support better science. Advise on data governance standards, handling practices, and potential solutions for various biomedical data types. Draft policies supporting the use and sharing of agency research data and coordinate education efforts on best practices and use of data. You Have 10+ years of experience in data management and governance 10+ years of experience managing biomedical data types, including data pertaining to EHRs, radiological imaging, digital pathology, and proteomics Experience managing and handling PII, PHI, CUI, and IP data Experience implementing FAIR and FHIR practices pertaining to data management Experience drafting policies pertaining to data management and stewardship Experience implementing minimum standards as pertaining to the Gold Standard Science Executive Order Experience interacting and communicating with senior‑level executives, including SES or GS‑15 Knowledge of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage Ability to critically review and assess technical work across health data and AI domains Bachelor's degree Nice If You Have Experience supporting an ARPA or R&D organization such as DARPA Experience using Microsoft Office, including Excel, Word, and PowerPoint Ability to operate independently within a fast‑paced start‑up environment Possession of excellent verbal and written communication skills Master's degree Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Your growth matters to us - explore our career development opportunities. BE EMPOWERED TO SUCCEED Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 4+ years of experience with network development or targeting 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Knowledge of EUCOM AOR Active TS/SCI clearance; willingness to take a polygraph exam Nice If You Have: 4+ years of experience as a strategic all-source intelligence analyst 3+ years of experience with targeting or network development analysis and US government all-source analysis production within the IC or Combatant Command environments 3+ years of experience using high-side tools, including Analyst Notebook, ArcGIS, Joint Enterprise Modeling Analytic (JEMA), DataXplorer, and VOLTRON Experience working with SIGINT and HUMINT Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel VBA Knowledge of ICD 203 TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 4+ years of experience with network development or targeting 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Knowledge of EUCOM AOR Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Nice If You Have: 4+ years of experience as a strategic all-source intelligence analyst 3+ years of experience with targeting or network development analysis and US government all-source analysis production within the IC or Combatant Command environments 3+ years of experience using high-side tools, including Analyst Notebook, ArcGIS, Joint Enterprise Modeling Analytic (JEMA), DataXplorer, and VOLTRON Experience working with SIGINT and HUMINT Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel VBA Knowledge of ICD 203 TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

A leading global technology company in San Francisco seeks a senior software engineer with expertise in anomaly detection and machine learning. You will lead projects to develop scalable cloud-based solutions, collaborating with teams and mentoring others in advanced AI techniques. A PhD or equivalent experience is essential, along with proven leadership in cloud architecture. The role offers a competitive salary and extensive benefits including paid time off and flexible working arrangements. #J-18808-Ljbffr

A leading technology firm in Mountain View, CA, is seeking a Senior Research Staff Data Scientist to innovate in AI methodologies, drive research across teams, and shape strategic decisions. This role requires a Master's degree and deep expertise in analytics, along with at least 10 years of relevant experience. A strong background in coding and statistical analysis is essential. The position offers a competitive salary ranging from $248,000 to $349,000, alongside bonuses and equity. Join a dynamic team pushing the boundaries of data science. #J-18808-Ljbffr

Manager of Data Science Compensation: $110k-$220k (Bentonville) | $143k-$286k (Sunnyvale) + Bonus + RSUs Requirement: Seeking a Manager of Data Science to lead a team of data scientists and ML engineers delivering GenAI and traditional ML solutions for Walmart Finance. This role will drive development and deployment of LLM, NLP, time-series forecasting, and recommendation models at enterprise scale. The manager will oversee execution, architecture, cross-functional collaboration, and stakeholder communication across retail and e-commerce teams. Prior people-management experience and strong GenAI/LLM expertise are required

A leading technology company is seeking an experienced Data Scientist to provide quantitative support and insights to enhance decision-making. Candidates should possess a Bachelor's in a quantitative field and 13 years of experience in analytics or a Master's with 10 years of experience. Responsibilities include project ownership, performing analyses, and collaborating across teams to drive improvements and operational goals. Competitive salary ranging from $227,000 to $320,000 plus bonuses and equity is offered based in Mountain View, CA. #J-18808-Ljbffr

A leading technology company is seeking an experienced engineer to join their team focused on building intelligent ML systems for observability. The ideal candidate will have a PhD in Computer Science or a related field, along with significant experience in cloud-based architectures like AWS or Azure. Responsibilities include leading the development of machine learning algorithms and enhancing AI features across platforms. This position offers an attractive salary and extensive benefits, including flexible vacation policies and a comprehensive insurance package. #J-18808-Ljbffr

Immediate need for a talented Data Scientist II. This is a 11+ Months Contract opportunity with long-term potential and is located in Cambridge, MA (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID:25-96101 Pay Range: $66 - $72/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Leverage Bioinformatics, System Biology, Statistics and Machine Learning methods to analyze high-throughput omics datasets, with a specific focus on novel target and biomarker discovery in Neuroscience. Lead computational analyses and data integration projects involving genomic, transcriptomic, proteomic, and other multi-omics data. Provide high-quality data analysis and timely support for target and biomarker discovery projects supporting the organization's growing Neuroscience portfolio. Keep up to date with the latest bioinformatics analysis methods, software, and databases, integrating new methodologies into existing frameworks to enhance data analysis capabilities. Work with experimental biologists, functional area experts, and clinical scientists to support drug discovery and development programs at various stages. Provide computational biology /data science input in research strategy and experimental design, provide bioinformatics input, and assist in interpreting results from both in-vitro and in-vivo studies. Communicate study results effectively to the project team and wider scientific community through written and verbal means, including proposals for further experiments, presentations at internal and external meetings, and publications in leading journals. Key Requirements and Technology Experience: Must have skills: - ["bioinformatics / computational biology ", " Multi-omics data analysis", “Machine Learning & Statistical modeling”, " Biological data integration”, “Python and/or R”, “HPC or cloud computing environments”, “Git / GitHub”] Demonstrated expertise in bioinformatics, computational biology, machine learning, multi-omics data analysis, biological data integration and interpretation. Extensive and demonstrated experience in the computational analysis of multi-modal and multi-scale (e.g. single cell, spatial) molecular profiles of patient-derived samples. Proficient in one or more programming languages (e.g., Python, R) and competent with HPC environments and/or cloud-based platforms. Experience with version control systems, such as Git (e.g., Github). Good working knowledge of public and proprietary bioinformatics databases, resources and tools. Familiarity with public repositories of DNA, RNA, protein, single-cell and spatial profiling data. Ability to critically evaluate scientific research and apply novel informatics methods in translational applications. Strong problem-solving skills, self-motivated, attention to detail, and ability to handle multiple projects. Proven ability to conduct research individually and collaboratively. Proven track record of contributions to peer-reviewed publications in the field of bioinformatics or computational biology. Excellent communication skills (written, presentation, and oral). PhD. in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related discipline with a minimum of 2 years of academic or industry experience. MSc in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related discipline, with a minimum of 5 years of academic or industry experience. Experience in analyzing neuroscience datasets and working knowledge of neuroscience, especially neurodegenerative diseases. In-depth understanding of drug target and biomarker identification in an industry setting Our client is a leading Pharmaceutical Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

A leading technology company in San Jose, CA, is seeking a Senior Product Data Scientist to provide analytics expertise for global product teams. In this role, you'll use your statistical toolkit to inform decisions for millions of users and facilitate insights and recommendations across functions. You will collaborate with partners, crafting meaningful narratives from data to drive product strategy. The ideal candidate has extensive experience with analytics, statistical methods, and coding, as well as strong communication skills. A great opportunity awaits for those passionate about leveraging data to influence outcomes. #J-18808-Ljbffr

corporate_fare Google place San Jose, CA, USA Apply 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. 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 . 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. #J-18808-Ljbffr

Amida Technology Solutions is a DC-based technology company focused on data interoperability, integrity, governance, and security. We create solutions that collect, reconcile, transform, and standardize data for business intelligence, advanced analytics, decision support, and user transactions. We specialize in taking data from inception to impact. Our team is composed of creative, forward-looking thinkers who are passionate about using cutting-edge technology to improve lives and generate a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork. Amida is seeking a Senior Graph Data Scientist. The successful candidate will work across our client engagements and internal research projects, helping the company develop graph algorithms and techniques to support advanced data management designs, including dimension-rich and time-series-based decision systems. This role will report to the Director of Solutions. The ideal candidate will be motivated by the opportunity to support public agencies, nonprofit organizations, and private companies in transforming their data into actionable insights. Preference will be given to candidates able to work a hybrid schedule in our offices in DC or Richmond, VA. What you will do: Serve as the company's expert in all aspects of graph data modeling, including schema development, tradeoff data connectivity with retrieval/query performance Design, implement, and optimize graph algorithms and data structures for applications in decision support, classification Supervise, help create, and implement algorithms for encoding and embedding, clustering, outlier detection, community detection, and dimensionality reduction Build distributed training pipelines that can handle large graphs (100 M+ graph element) Design and write queries, stored procedures for data loading, migration from existing databases, and retrieval Interface with customers and internal resources to ensure alignment of expectations and objective progress towards the application of graph in advanced analytical systems Author white papers, technical documentation, patents, and present at conferences Mentor and train data scientists on graph theory, graph analytics and graph-based solution architectures Other duties as assigned Required Education: Master's degree in Computer Science, Mathematics, or Engineering with a strong focus on graph theory, algorithms, and data structures Required Experience: 5+ years of recent professional experience in Graph Machine Learning 3+ years of recent professional experience in the development and implementation of graph algorithms and data structures, including heterogeneous graphs for new applications 3+ years leading research initiatives Required Skills: Proficient with data modeling, schema design, database optimization, performance monitoring Proficient in software development using 4GLs Familiarity with graph libraries and frameworks, and machine learning libraries (e.g., PyTorch Geometric, DGL, GDS) Proficient in at least one Apache Spark based cloud service (e.g., Azure Databricks) Commitment to and engagement in building strong and trustful relationships with teammates, business partners, and customers Intellectually curious and passionate about exploring new frontiers in graph theory with an emphasis on real-world applications Desire and ability to stay current with both academic and industry literature Ability to obtain Public Trust Preferred: Experience with Neo4j, Cosmos DB, Arango DB Experience with cloud services and their database management system Ph.D. in Computer Science, Mathematics, or Engineering with a strong focus on graph theory, algorithms, and data structures Success at Amida Communication is the key to success at Amida. Our people are known for their can-do attitude and their ability to work effectively with both internal and client teams. We pride ourselves on having a collegial, multidisciplinary team with diverse backgrounds and experience. Our best team members pay intense attention to detail in all aspects of their work, have great initiative, are opinionated about the best ways of doing things, and align quickly to decisions. A sense of humor is an asset at Amida. Full-time, regular employees at Amida enjoy a robust benefits package that includes a generous 401(k) match with immediate vesting, 4 weeks of PTO, paid parental leave, medical insurance, dental insurance, vision insurance, life/AD&D insurance, and short-term disability. We also offer tuition/training assistance and team building opportunities to encourage professional growth and collaboration. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. #J-18808-Ljbffr

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. About the role Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting recommendations and personalization products. In this role, you will leverage data analytics to support and improve our recommendations and personalization initiatives, identifying trends, mitigating risks, and providing actionable insights. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. Roku will be accepting applications for this position until November 27, 2025 [or until the position filled]. What you'll be doing Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests Translate complex analyses into clear executive narratives and dashboards, driving consensus on priorities and accelerating delivery across the board. Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions Develop necessary data pipelines to power automation, validation and reporting Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback Providing feedback directly to leadership on performance of various initiatives and untapped opportunities We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 5+ years of experience across consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ #J-18808-Ljbffr

A leading streaming technology company in San Jose is seeking a Sr. Data Scientist to support recommendations and personalization products. You'll leverage data analytics to identify trends, mitigate risks, and provide actionable insights while collaborating closely with product management and engineering. The ideal candidate has over 5 years of experience in data science and is proficient in SQL, Python, and A/B testing. This role offers competitive compensation and a comprehensive benefits package. #J-18808-Ljbffr

This role is for a Data Scientist (MMM) on a 6‑month contract, paying $50+/hour, remote in the U.S. Requires a Ph.D., 3+ years in data analytics, and experience with MMM, digital marketing, SQL, Python, and cloud technologies. Responsibilities Perform hands‑on coding to retrieve and analyze large datasets using Python and SQL Integrate disparate data sources and leverage state‑of‑the‑art analytics best practices to deliver integrated, actionable insights to partners and stakeholders Manage and streamline the data extraction process with great attention to detail Assess the potential usefulness, validity, and rigor of new data sources Work with a cross‑functional team to ensure that the quality of the data is of the highest standard Help with media mix models to connect the impact of marketing tactics and business short‑term and long‑term outcomes Qualifications Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field 3+ years of industry experience in a data, analytics, and data science role Experience with advertising, measurement, and/or digital marketing analytics Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc. Proficient coding skills (SQL/Python/R) Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop) Proficient BI/BA data visualization tools (Tableau, Power BI, ThoughtSpot, Looker, etc.) Experience working with Marketing Mix Modeling (MMM) and/or Multi‑Touch Attribution Models (MTA) Experience with modeling and machine learning Experience with cloud technologies such as GCP, AWS, and Azure Experience in integrating, structuring, and analyzing large amounts of data from diverse sources Strong project management skills, attention to detail, and documentation skills Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and ‘tell a story that provides insight into the business Passion for working in a fast‑paced agile environment A collaborative mindset and sense of curiosity Experience with predictive modeling algorithms and optimization techniques Experience applying statistics to business problems About FocusKPI FocusKPI is a data science and technology firm specializing in predictive analytics practice and methodologies. Founded in 2010, FocusKPI, Inc. (FocusKPI) is a U.S. company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts. 85 Great Portland Street, London, England, W1W 7LT #J-18808-Ljbffr