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The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands‑on mentorship, elevating the team's technical bar and influencing overall business strategy through best‑in‑class modeling and experimental design. This role is based in our San Francisco office with an office‑centric hybrid schedule. The standard in‑office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in‑office requirements. What you'll achieve: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi‑touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands‑on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state‑of‑the‑art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large‑scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert‑level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $248,000 - $316,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long‑term savings or retirement plans In‑office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor's and Inc.'s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in‑person collaboration, incorporating flexibility that adds hybrid elements to our office‑centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants 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 law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #J-18808-Ljbffr

One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! As a Data Analyst, you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can be filled in our San Francisco headquarters OR remotely in the U.S. We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform. Play a key role in creating both product and client-facing analytics. Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations. About you At least 2 years of professional experience as a data analyst or a data scientist. Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships. Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly. Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.) Fast learner; curiosity about and passion for data. Compensation The US total compensation range for this full-time position is $110,000 - $150,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. Doximity is proud to offer industry-leading benefits. Some of our offerings include: Medical, dental, vision offerings for you and your family 401k with matching program Employee stock purchase plan Family planning support, Childcare FSA, and parental leave Life, AD&D, and Disability Generous time off, holidays and paid company trips Wellness benefits…plus many more! More info on Doximity For the past decade, it's been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people's lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We're growing fast, and there's plenty of opportunity for you to make an impact-join us! For more information, visit Doximity.com. EEOC Statement: Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #J-18808-Ljbffr

A leading technology company is seeking a Mid Data Scientist in San Diego, California. In this role, you will analyze diverse data sets using advanced data analytics techniques to deliver actionable insights for complex problems. The ideal candidate will have a bachelor's degree, experience in data science, and a passion for transforming data into meaningful information. Join us to leverage AI and machine learning to tackle global challenges and drive data-driven decision-making. #J-18808-Ljbffr

Immediate need for a talented Data Analyst. This is a 06+months contract opportunity with long-term potential and is located in Dallas TX (Hybrid). Please review the job description below and contact me ASAP if you are interested. Pay Range: $40 - $45/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 Requirements and Technology Experience: Key skills; Data Analyst, Data Modelling, Data Quality, Data Governance Hands on technical Data Analysis experience SQL and Python is a must to be able to code and demonstrate coding experience (will solve coding problems during interview) Data Analysis process, Data Modeling, Data Quality, Metadata, Data Governance knowledge is preferred. Healthcare knowledge will be preferred. Microsoft Azure and Fabric experience will be preferred. Our client is a leading Healthcare 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.

⭐ - Featured Role | Apply direct with Data Freelance Hub This role is for a Data Moderator-Analyst focused on AI Data Collection, requiring a Bachelor's in a quantitative field and 1+ years of relevant experience. Contract length is 4-6 months, with a pay rate of $17.00 - $20.00 per hour, onsite in specified locations. Locations Brooklyn - 1090 Carroll Street, Apt 1R, Brooklyn, NY 11225 Bordentown - 348 Farnsworth, Bordentown, NJ Jersey City - 932 Summit Ave, Jersey City, NJ 07307 Las Vegas - 1237 Darmak Drive, Las Vegas, NV 89102 Atlanta, GA & Cleveland, OH - Onsite Key Responsibilities Data Sourcing and Collection: Execute and monitor data collection processes to acquire diverse, high-volume, and high-quality data sets essential for training AI/ML models. Collaboration: Work with Data Engineers and Scientists to define and implement robust data collection methodologies and pipelines. Analysis and Reporting: Conduct descriptive and diagnostic analysis on collected data to identify trends, patterns, and issues that could impact model performance. Statistical Validation: Utilize statistical methods to validate data samples and test hypotheses related to data distribution and model requirements. Reporting & Visualization: Create clear, concise reports and visualizations (e.g., dashboards) to communicate data collection progress, quality metrics, and key findings to technical and non-technical stakeholders. Required Qualifications Bachelor's degree in computer science, data science, statistics, mathematics, or a related quantitative field. Freshers/ Recent Graduate/Interns/1+ years of experience working as a Data Analyst or in a similar role involving extensive data manipulation and quality assurance. Soft Skills Analytical and Problem-Solving: Proven ability to analyze complex data issues and develop practical, data-driven solutions. Communication: Excellent written and verbal communication skills to articulate technical findings clearly to diverse audiences. Attention to Detail: Meticulous approach to data management and quality control, critical for AI performance. Collaboration: Ability to work effectively within a cross‑functional team of Data Scientists, Engineers, and Domain Experts. Freelance data hiring powered by an engaged, trusted community - not a CV database. Pay: $17.00 - $20.00 per hour Work Location: In person #J-18808-Ljbffr

A leading freelance data services provider is seeking a Data Moderator-Analyst focusing on AI Data Collection. This role requires a Bachelor's degree in a quantitative field and 1+ years of experience in data analysis. Key responsibilities include executing data collection processes, analyzing data trends, and creating reports for stakeholders. Join us to be part of a trusted data community, with an hourly pay rate between $17.00 and $20.00, onsite in specified locations. #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

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

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

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 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

Are you an experienced Data Analyst with a desire to excel? If so, then Talent Software Services may have a job for you! Our client is seeking an experienced Data Analyst for a contract hire to work at their company in Columbia, SC (Hybrid). Primary Responsibilities/Accountabilities: Development & Consultative Work (Customer-Facing) Facilitate meetings with business stakeholders Gather, document, and validate requirements Understand I/S business processes to design effective data solutions Develop dashboards, reports, automation, and analytics solutions Collaborate with management and cross-functional teams Present findings, insights, and solutions to internal customers Balance both technical problem-solving and business consulting skills Recurring / Operational Data Work Execute recurring, repeatable reporting and operational tasks Deliver timely and accurate insights for business decision-making Handle ad-hoc reporting and data analyses as needed Maintain and monitor automated reporting processes Review recurring reports annually to ensure continued business value Ensure quality, consistency, accuracy, and meaningful insights Strong SQL BI expertise Highly analytical with proven research skills Confident communicator who can run meetings and work with business partners Able to build dashboards, automate data flows, and present insights Thrives in both structured operational tasks and open-ended development work Collaborative, consultative, and solution-focused Qualifications: Advanced knowledge of Microsoft Office. Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases. Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes. Bachelor's degree in: Statistics Computer Science Mathematics Business Healthcare Or a related field Degree Equivalency Options: Associate degree plus 2 years reporting/data analysis experience, OR 4 years reporting/data analysis experience (no degree required) 4 years research & data analysis experience 6 years research & data analysis experience (mid-senior level) Strong SQL (core requirement) Power BI Advanced Microsoft Excel Ability to train subordinate staff including providing assistance/guidance to staff in design/execution of reporting needs. Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development. Strong understanding of relational database structures, theories, principles, and practices. Preferred: Computer programming skills. Negotiation or persuasion skills. Knowledge of ICD9/CPT4 coding. Knowledge of the healthcare delivery system. SAS experience. Work environment: Typical office environment. Some travel between buildings and out of town. Tableau Power Automate Python GitHub MS Access

Are you an experienced Data Scientist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Scientist to work at their company in Novato, CA. Client's Data Science is responsible for designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas of Client. With a quality-by-design culture, Data Science builds quality data that is fit-for-purpose to support statistically sound investigation of critical scientific questions. The Data Science team develops solid analytics that are visually relevant and impactful in supporting key data-driven decisions across Client. The Data Management Science (DMS) group contributes to Data Science by providing complete, correct, and consistent analyzable data at data, data structure and documentation levels following international standards and GCP. The DMS Center of Risk Based Quality Management (RBQM) sub-function is responsible for the implementation of a comprehensive, cross-functional strategy to proactively manage quality risks for clinical trials. Starting at protocol development, the team collaborates to define critical-to-quality factors, design fit-for-purpose quality strategies, and enable ongoing oversight through centralized monitoring and data-driven risk management. The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies. Primary Responsibilities/Accountabilities: The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the study's complexity and the study's development stage: Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies. Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets. Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review. Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient. Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes. Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics. Qualifications: PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example: PhD: 3+ years MS: 5+ years BA/BS: 8+ years Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets). Hands-on experience working with clinical trial data.•Proficiency with Microsoft Word, Excel, and PowerPoint. Technical - Preferred / Strong Plus Experience with RAVE EDC. Awareness or working knowledge of CDISC, CDASH, SDTM standards. Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms. Preferred: Knowledge of GCP, ICH, FDA guidance related to clinical trials and risk-based monitoring. Strong analytical and problem-solving skills; ability to interpret complex data and risk outputs. Effective communication and teamwork skills; comfortable collaborating with cross-functional, global teams. Ability to manage multiple programming tasks and deliver high-quality work in a fast-paced environment.

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

Job Title: SAP Data Migration (BODS) Duration: 07 months+ Contract Notes: Details of the request include: Must-have skill requirements of the role: SAP BODS hands-on experience Must have completed data migration into SAP S/4 for at least 2-3 projects (Note: SAP BODS experience for BI/BW migration is different; we require S/4 migration experience. Santa Clara, CA; onsite once every 6 weeks. Contract Description: Experience - 8 years of end to end SAP data migration experience. Strong hands-on experience in SAP Business Objects Data Services (BODS) as technical developer. Good analytical skills to analyze the ETL issues and fix them independently. Should have experience in Data Migration project with an end to end SAP implementation. Should have good understanding of the BODS landscape and architecture. Should be able to connect to customers and gather requirements and work independently on those requirements. Qualifications: Thorough knowledge of developing conversion objects using SAP BODS, LTMC etc. Should have strong experience of end-to-end E-T-L process in SAP projects. Should be well aware of SAP master and transactional data objects in various areas such as SnP, OTC, Manufacturing etc. Should be able to run Mock data load tasks, analyze issues, coordinate with other teams, fix defects etc. Sound Knowledge of SQL.

E*Pro Consulting offers contingent Staff Augmentation of IT professionals, Permanent Recruiting, and Temp-to-Hire services, with expertise in various industries including financial services, Insurance, Telecom, Manufacturing, Technology, Media and Entertainment, Pharmaceutical, Health Care, and service industries. Job Description Location: SFO, CA Length: 4 months Type: C2C / C2H Job Requirements: A passion for building scalable, robust software with automation in mind Great team player with strong ability to work independently 6+ years of software development experience 4+ years of experience working with Java 4+ years of experience on web services, especially RESTful web services 4+ years of experience working with scalable relational databases such as Oracle and DB2 2+ years of experience working with NoSQL database such as Cassandra and Mongo DB Solid knowledge in orchestration frameworks such as Azkanban Hand-on experience in writing scripts using both Python and Unix shell Working knowledge on massive email delivery is a plus Experience working in Scrum/Agile environment Excellent analytical, problem solving, and written and verbal communication skills #J-18808-Ljbffr

Shift : Monday-Friday 8:00-4:30 CT (flexible hours) What level of experience, certifications, and specific skills are required? 1. 1-3 years Genesys Cloud experience 2. Experience updating and maintaining data tables 3. Experience managing operating schedules and schedule groups. Summary: The Consulting Configuration Analyst of Patient Contact Operations role is a key member of the Company's Contact Center Operations Support team with the responsibility of working with the Director - Contact Center Optimization to collaborate with cross-functional teams to define and document configuration management requirements, ensuring accurate and up-to-date configuration data. DUTIES INCLUDE BUT ARE NOT LIMITED TO: Maintaining the configuration management database. Oversee the tracking, identification, and control of configuration items throughout their lifecycle. Develop and maintain configuration management plans, policies, and procedures to adhere to industry standards and regulatory requirements. Conduct comprehensive configuration audits and reviews to ensure consistency, accuracy, and compliance. Conduct monthly scans of all environments. Maintain version control of operational configurations for hardware and software. Participate in the selection and deployment of configuration management tools and systems. Work closely with stakeholders to resolve configuration-related issues and discrepancies. Stay current with industry trends and best practices in configuration management. Applies technical knowledge and understanding of business processes to recommend opportunities for optimizing business process through utilization of technology. Translates and documents requirements into detailed program designs to present to leadership Manages small projects, tracks project progress, identifies risks, communicates risks, status, and assesses potential impacts to the business. Sphere of influence - Mid to upper management Skilled at performing database queries of the application database to provide data Committed to and supportive of all policies and procedures and the monitoring and enforcement of them. Completes work independently with limited supervision. Provide guidance to all levels of Management and other applicable leadership to resolve internal and external needs or issues. Adheres to Code of Conduct. Performs other duties as assigned. KNOWLEDGE, SKILLS & ABILITIES: Excellent communication (oral and written) skills, particularly in writing practical and data-driven proposals. Strong attention to detail including proven ability to prioritize competing initiatives simultaneously. Robust analytical skills with the ability to use solid troubleshooting techniques with data analytics. Ability to think tactically, persuade stakeholders, and execute methodically. Knowledge of relational database structure and ability to monitor processing to identify issues preferred. Experience in related industries a plus (e.g., healthcare, contact centers, financial, data analytics and processing). Experience with Microsoft Excel, Teradata and SQL server preferred. Creative, entrepreneurial approach to configuration/technology possibilities. Knowledge of hardware and operating systems. Proven ability to identify issues and recommend solutions to others. Experience with all phases of complex projects, including ideation, development, and implementation. Experience with creating and presenting reports to all levels of corporate structure. Knowledge of Contact Center Configuration/Reporting/Dialer Knowledge of the Genesys Cloud Platform preferred. COMPETENCIES FOR THE ROLE: Strong communication skills - Strong verbal and written communication skills. Ability to ask probing questions and listen to understand and document business needs/issues. Communicates clearly and concisely. Able to develop and deliver formal presentations and lead meetings with management. Problem Solving / Decision Making - Obtaining information and identifying issues and relationships relevant to achieving a goal or vision; committing to a course of action to accomplish a goal or vision after developing alternatives based on logical assumptions, facts, available resources, constraints, and organizational values. Customer Focus - Seeks to understand the customer, creates customer-focused practices to prevent issues, and assures customer satisfaction. Planning and Organizing - Establishing courses of action for self and others to ensure work is completed efficiently. Able to manage a number of projects/assignments. Quality Orientation - Accomplishing tasks by considering all areas involved, no matter how small; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful over several time period cycles. Continuous Learning - Identifying new areas for learning; creates and takes advantage of learning opportunities; consistently gains knowledge and skill on the job and learning through their application. Building Partnerships - Identifying opportunities and taking action to build strategic relationships between one's area and other areas, teams, departments, units, or organizations to help achieve business goals. Innovation - Views difficult situations and/or problems as opportunities for improvement resulting in innovative solutions while trying different/novel ways to embrace change. Tactical Execution - Oversees the development, deployment and direction of complex programs and processes along with back end audit confirmations. Project Management - Assesses work activities and allocates resources appropriately. Organization - Proactively prioritizes needs and effectively manages resources. EDUCATION: Bachelor's degree in Computer Science, Analytics, Information Systems, Business Administration, Engineering or a related field of study required. Equivalent relatable experience may substitute degree requirement. EXPERIENCE: 5+ years of experience in related positions for Configuration/Contact Center Healthcare/Contact Center/Genesys Cloud experience is preferred