Biostatistician remote jobs - 483 jobs

About the job Sr. Data Scientist About AllyNds Client This client is a mission-driven FinTech startup democratizing credit with behavioral data. Their platform uses alternative signals like purchase behavior, mobile activity, and financial metadata to extend fair credit access to thin- and no-file users. With funding from FinTech-focused VCs and former Plaid/Credit Karma leadership on board, they are entering a high-growth phase and expanding their data science team. Job Description Were seeking a Senior Data Scientist who thrives in high-autonomy environments and wants to build ML systems that power life-changing financial decisions. Youll work on risk modeling, fraud detection, and explainable AI to make lending more equitable and intelligent. Responsibilities Build and productionize machine learning models for credit risk and fraud detection Design real-time scoring systems using behavioral and transactional data Conduct fairness analysis and build explainable AI tooling Lead model validation, AB testing, and drift monitoring Collaborate with data engineers and product managers on model-driven features Contribute to data governance and regulatory compliance efforts Required Skills 7+ years of experience in data science, ideally in FinTech or financial risk modeling Proficient in Python, SQL, and modeling tools like XGBoost, LightGBM, sklearn Experience with real-time modeling, data pipelines, and stream processing Knowledge of responsible AI practices and interpretability (SHAP, LIME) Strong statistical background and experimental design skills Preferred Skills Experience with alternative credit models or underwriting Familiarity with regulatory frameworks (FCRA, ECOA) Exposure to tools like H2O.ai, Feature Store integrations, or custom explainers Benefits 100% remote with async-friendly culture Health, dental, vision coverage + 401(k) Unlimited PTO and mission-focused team

Biostatistician US Remote Emmes Group: Building a better future for us all. Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience. We believe the work we do will have a direct impact on patients' lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. We're looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us! Primary Purpose Collaborates with clinical investigators to determine study design, contributes to protocol development, writes statistical analysis plans, performs statistical analysis, makes statistical inference and writes and presents reports summarizing findings including publications in peer-reviewed journals. Responsibilities Collaborating with clinical investigators to determine study design; Writing sections of protocols that require statistical input; Reviewing protocols and case report forms to ensure that protocol objectives are met and standards are maintained; Generating treatment allocations in randomized clinical research studies and ensuring proper implementation; Leading the project team's development of statistical analysis plans and programs to perform analyses and display study data; Performing statistical analyses; writing and validating application programs; Implementing data and safety monitoring reports to ensure participants' safety; Developing metrics and generating quality control reports to optimize the performance of clinical sites and the coordinating center; Generating study reports to be distributed to internal and external monitoring committees and regulatory bodies; Participating in professional development activities both within and outside the company Other duties as assigned Qualifications PhD in biostatistics, statistics, epidemiology or related field. Demonstrated proficiency with statistical methods and applications in clinical research. Strong programming skills in SAS and/or R. Ability to manage multiple tasks. Ability to work independently, as well as in a team environment. Ability to effectively communicate technical concepts, both written and oral. Why work at Emmes? At Emmes, your actions and hard work will have a direct impact on public health initiatives, both globally and in our local communities with opportunities for volunteerism through our Emmes Cares community engagement program. We offer a competitive benefits package focused on the health and needs of our growing workforce, including: Flexible Approved Time Off Tuition Reimbursement 401k Retirement Plan Work From Home Anywhere in the US Maternal/Paternal Leave Casual Dress Code & Work Environment CONNECT WITH US! Follow us on Twitter - @EmmesCRO Find us on LinkedIn - Emmes The Emmes Company, LLC is an equal opportunity affirmative action employer and does not discriminate in its selection and employment practices. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or other legally protected characteristics. #LI-Remote

A leading healthcare AI company based in Chicago is seeking a Machine Learning Engineer/Data Scientist to develop AI solutions that improve patient care. You will design and optimize machine learning models, collaborate with diverse teams, and stay updated on industry innovations. Ideal candidates possess a strong background in machine learning, proficiency in programming languages like Python, and experience with cloud platforms. Join us for a competitive salary and opportunities for personal development and equity participation. #J-18808-Ljbffr

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time . Overview Responsible for development and maintenance of analytical solutions through applications of Data Mining, Machine Learning, Predictive Modeling, Generative AI and other emerging technologies for current and future business needs. Lead the supervised and unsupervised model development efforts in partnership with business and Information Technology (IT) stakeholders from diverse functional areas. Proactively monitor outcome post installation and report actionable insights. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Responsibilities Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes. Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends. Perform descriptive and diagnostics analysis to provide actionable insights for a range of business customers via effective visualization. Perform prescriptive analysis seeking for statistical inference providing information that will drive strategic decision making related to marketing, claims and underwriting. Develop predictive models and machine learning solutions to investigate problems, detect patterns and recommend solutions. Work with Information Technology to integrate the model into production environment. Perform model maintenance and post installation monitoring, including performance tracking, model refit/refresh, documentation, and version control. Research and prototype advanced data science techniques like Text Mining, Natural Language Processing (NLP), Image Recognition, Generative AI and Robotic Process Automation (RPA). Research and recommend new data, tools, modeling techniques to enrich analytics solutions in alignment to policy lifecycle. Participate in the broader community to stay current with industry trends including cutting-edge methodology, software, platform and recommend best practices. Qualifications Knowledge and Requirements Professional statistics/quantitative skills. Hands-on experience of solving business problem with various multi variate statistical methods including generalized linear model, survival model, time series, mixed effects model etc. Familiar with the whole life cycle of predictive modeling, including data provision, model development, validation and testing, model deployment. Proficient with manipulating data with enterprise-scale database systems (SQL, SAS). Proficient with at least one scripting language such as R, Python, or Java. Experience with BI tools such as Tableau, Spotfile etc. is preferred. Knowledge of HTML for web app development is preferred. Hands on experience with Big Data / Hadoop / Spark is preferred. Experience with version control workflow such as Git is plus. Education and Experience PhD with 1 year of Predictive Modeling Experience, or Masters with 2-3 years of Predictive Modeling Experience or Bachelors with 4-5 Years of Data Science Experience and education in Statistics, Economics, Computer Science, Mathematics or related field preferred. Property & Casualty Insurance experience highly preferred. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our benefits page. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $97,000.00 - USD $146,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today. Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest's headquarters are located in Markham (Greater Toronto Area), Ontario, Canada with additional sites in Bridgewater (Greater New York City Area), New Jersey, USA, Shanghai (Pudong Zhangjiang New District), China and Taipei, Taiwan. Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients' needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success. Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that's us…that's Everest. To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Senior Biostatisticians for our Bridgewater, New Jersey, USA on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy. Key Accountabilities: 1. Leadership and Project Management: Lead efforts in resolving day to day work related issues and problems, securing quality, improving efficiency and productivity of statistical and programming operations. Lead assigned projects by applying project management skills, statistical and programming techniques; achieve quality and on time delivery of deliverables, earn client's trust and repeat business. 2. Statistical Planning and Methodologies: Provide statistical expertise for design, analysis and reporting of clinical trials and research projects. Contribute to the writing of statistical sections of study protocols, perform sample size calculation, develop randomization specifications, and generate randomization codes. Write Statistical Analysis Plans (SAPs) and properly address Peer Statistician review comments. Create and maintain Statistical and Programming Quality Control (QC) and QA Plans for assigned projects. Provide input to unblinded data management plan when required. Assist in research and development of statistical methodologies and processes. 3. Statistical Programming: Develop and/or review ADaM dataset specifications. Review and provide input to SDTM dataset specifications when required. Perform QC validation of analysis datasets and TLGs. Perform third level review of dry runs and final run. Lead statistical dry runs and final run by actively participating or contributing to project and resources management, addressing statistical and programming questions and interacting with data management to follow up and resolve data issues. Review and provide input to the Analysis Data Reviewer's Guide, discuss and incorporate Data Standards Reviewer's review comments to ensure quality of the document. 4. Statistical Analysis and Reporting, and Publication Support: Perform statistical analysis as per SAP, and address peer/QC review comments and findings. Perform statistical validation of core results, address additional QC validation comments and findings on the core results. Plan and conduct or contribute to the trial results reporting/dissemination meetings. Under supervision contribute to the contents describing any deviation from the planned analysis and deviation from study conduct for the Clinical Study Report (CSR). Review CSR to ensure accuracy, completeness and appropriateness of the interpretation of the statistical results. Write statistical report or statistical sections of the CSR. Perform statistical analyses for publications, including but not limited to abstracts, manuscripts, presentations and posters. 5. Supporting Clinical Data Collection and Cleaning: Provide statistical input to Case Report Forms (CRF) design and database/variable structure. Provide statistical input to non-CRF data collection and acquisition methods and approaches. Review Data Management Plan sections relating to critical data collection and cleaning. Provide statistical input to Data Validation Specification. Specify and/or program database quality acceptance checks, assess and report data quality issues, and follow through until resolution. Perform ongoing assessment and communication of data quality issues, including protocol deviations. Assist data management and trial management team in preparing for database lock. 6. Complete job required and project-specific training. Comply with applicable Everest and trial sponsor's policies, SOPs, and work instructions. 7. Properly archive study files in accordance with trial sponsor's requirements. 8. Plan and carry out professional development activities. Qualifications and Experience: A Ph.D. degree in statistical science, mathematical analysis or related fields plus 2 years highly relevant experience or a Master's degree plus 4 years highly relevant experience, with demonstrated ability and sustained performance. To find out more about Everest Clinical Research and to review other opportunities, please visit our website at ***************** Estimated Salary Range: $130,000 - $160,000. We thank all interested applicants, however, only those selected for an interview will be contacted. Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process. #LI-Remote #LI-TK1 #INDHP

Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Waveband EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon's Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology. Beacon Biosignals is seeking an experienced data scientist/biostatistician to help us collect, ingest, analyze, and interpret petabytes of EEG data to drive advancements in brain health. This role is part of the Biostatistics function within Beacon's Data Science Group. The Data Science Group is a diverse set of talented, dedicated individuals with expertise across neuroscience, biostatistics, data wrangling, and more, who collaborate across the organization and externally to answer scientific questions with data. In this role, you'll work in cross-functional teams to support Beacon's Life Sciences engagements with industry partners that power novel therapies for patients with neurological, psychiatric, and sleep disorders. You'll also collaborate with scientists, engineers, and clinicians to draw meaningful insights from real-world data and accelerate neurobiomarker discovery. This role reports to the manager of the Data Science Group. At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and-most of all-a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs located in Boston, New York City, and Paris. For this position, candidates based in the United States are preferred to minimize logistical hurdles and maximize timezone overlap with colleagues and partners. What success looks like Lead and support the development of statistical analysis plans for clinical trials in collaboration with internal subject matter experts and external stakeholders. Perform power and sample size calculations that ensure our and our partners' studies are powered appropriately to measure meaningful effects on the brain. Deliver clear and impactful presentations and data visualizations to varied audiences, both internal and external. Lead and support the scientific and technical aspects of multiple concurrent studies, including timeline estimation, task delegation, timely execution, and stakeholder communication. Engage with external stakeholders to align their needs with internal capabilities and capacities to ensure analyses bring maximal value while remaining operationally feasible. Contribute to group-level processes and procedures to help make projects run more smoothly and efficiently. Co-author scientific reports whose impact pushes the field past contemporary limitations. Write and review reusable, documented, tested code that produces polished, high quality analytical results for our partners and powers our core computational pipelines. Leverage Beacon's products and your own subject matter expertise to inform analysis planning and execution. Dig into large, messy, unfamiliar datasets, document their idiosyncrasies and provenance, and harmonize them with Beacon's datastore. What you will bring You've spent multiple years in industry using your expertise in (frequentist) biostatistics to design and analyze clinical trials. You're deeply familiar with statistical modeling, including interpretation and diagnostics. You pick the right statistical tool for the job and, perhaps most importantly, you know when that tool is not a model. You have substantial experience presenting analyses to external audiences of varied backgrounds; you've learned the hard way what does and does not make an understandable and impactful presentation. You thrive in a fast-paced, highly customer-facing environment. You have experience writing and reviewing code in a shared, version-controlled codebase with multiple contributors and users. You write unit tests and documentation to ensure correctness and usability. You're painfully aware that thoughtful data curation is a prerequisite to analysis results that hold up under practical application. You love teamwork and recognize that people can achieve more together than individually. You value close collaboration, open communication, and tight feedback loops to ensure you and your team are working together effectively and doing your best work. You have excellent written and verbal communication and listening skills. You stay calm and organized to meet tight deadlines amidst ambiguity. You're familiar with and/or are excited to work with the technologies that power Beacon's data and reporting systems, including Julia, AWS, Superset, Pandoc, SQL, and GraphQL. You have exceptional attention to detail and maintain a high standard of quality in your work and output, but you also know when "quick and dirty" is the right approach. You're comfortable working in a highly asynchronous hybrid work environment, and have demonstrated success doing so in the past. We welcome applicants who are well established in their careers and those who bring senior-level expertise. The base salary range for this role is determined based on past experience, specific skills and qualifications. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits. At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

We are seeking a highly motivated and qualified leader to join our Biostatistics Department as a Senior Biostatistician and work as a team lead to drive success. The Senior Biostatistician will provide strategic and hands-on statistical leadership to support the discovery, development, and clinical advancement of RNA-based therapeutics. This role partners closely with cross-functional teams to design, analyze, and interpret complex data across preclinical and clinical programs, ensuring scientific rigor and regulatory compliance throughout the drug development lifecycle. Key Responsibilities Lead statistical strategy, study design, and data analysis for RNA-based programs across discovery, preclinical, and/or clinical development. Develop statistical analysis plans (SAPs), protocols, and supporting documentation in alignment with regulatory expectations. Provide statistical expertise for dose-finding, PK/PD modeling, biomarker analysis, and translational studies. Collaborate cross-functionally with Clinical Development, Biometrics, Bioinformatics, Regulatory, and Discovery teams. Oversee and review statistical outputs from CROs and external partners, ensuring quality and adherence to timelines. Perform and interpret advanced statistical analyses using appropriate methodologies for high-dimensional and longitudinal data. Contribute to regulatory submissions, investigator brochures, clinical study reports, and scientific publications. Communicate statistical results clearly to both technical and non-technical stakeholders. Mentor junior statisticians and contribute to best practices within the biostatistics function. Essential Physical Characteristics: Reasonable accommodation(s) may be made to enable qualified individuals with disabilities to perform the essential functions of a job, on a case-by-case basis. On-Site Protocol: Physical presence at the ADARx Pharmaceuticals worksite is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture. Remote work is on a case-by-case basis. Qualifications PhD or MS in Biostatistics, Statistics, Mathematics, or a related quantitative field. 5+ years of biostatistics experience in the pharmaceutical or biotechnology industry. Direct experience supporting RNA-based therapeutics (e.g., si RNA, mRNA, antisense oligonucleotides). Strong understanding of drug development processes, including preclinical and clinical trial design. Proficiency in statistical programming and analysis tools (e.g., SAS, R). Experience working with CROs and managing outsourced statistical activities. Knowledge of regulatory guidelines (ICH, FDA, EMA) and submission requirements. Excellent written/verbal communication, collaboration, and problem-solving skills are essential for this role. Preferred Qualifications Experience with early-phase clinical trials and translational medicine. Familiarity with bioinformatics or omics-related data analysis. Prior involvement in regulatory interactions or submissions. Demonstrated leadership or mentoring experience. Required Key Attributes: Must be able to work independently with supervision as needed. Must be collaborative, work well with other team members in a matrix team environment. Strong organizational skills with attention to detail and accuracy. Ability to maintain a high level of confidentiality and exercise discretion. Adaptable / Flexible - willing and able to adjust to multiple demands and shifting priorities as well as an ability to meet day-to-day challenges. Understand project timelines and deliverables and plans/coordinate project work accordingly with departmental, functional, and external stakeholders. Compensation: This is a full-time position, Monday-Friday. Pay is commensurate with experience. Equity-based compensation Performance-based bonuses 401(k) with Company Match Medical, Dental, Vision Flexible Spending Account Life Insurance Employee Assistance Program Employee Discounts Gym Membership Paid Vacation Paid Holidays Paid Sick, Jury Duty, Bereavement Work Authorization: United States (Required) Background Check As a condition of employment, you must successfully complete all post-offer, pre-employment requirements, including but not limited to a background check. Company Overview: ADARx Pharmaceuticals, Inc., (the “Company” or “ADARx”) located in San Diego, is a late-clinical stage biotechnology company committed to turning cutting-edge science into life-saving therapeutics. ADARx has developed proprietary RNA targeting platforms and technology for silencing or editing target mRNA. ADARx has a growing pipeline of RNA targeting therapeutics for treating diseases across a range of therapeutic areas including genetic, cardiometabolic, complement-mediated diseases and central nervous system. ADARx currently has multiple active programs in development with the lead candidate in the clinic. We are well-financed by a syndicate of highly regarded investors. ADARx Pharmaceuticals is an EEO employer committed to an exciting, diverse, and enriching work environment. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Disclosure Statement The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual target bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, type and length of experience within the industry, and other job-related factors permitted by law. Total Compensation includes base salary; benefits: medical, vision, and dental insurance; life insurance; 401(k) matching program; paid time off; paid holidays; Employee Assistance Program; and other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including but not limited to cash bonuses. Following a conditional offer of employment, satisfactory completion of a background check (including criminal records check) is required prior to beginning employment. Any offer of employment may be rescinded if the background check reveals disqualifying information, and/or it is discovered that the candidate knowingly withheld or falsified information. Failure to satisfactorily complete the background check may affect the continued employment of a current NAI employee who was conditionally offered the position.

General SummaryUnder general supervision of the Statistics Project Manager or higher, the Senior Statistician will perform methodology research and provide statistical expertise for the design, analysis, and reporting for assigned clinical studies. The Senior Statistician will conduct independent consultation across functional teams as needed. The incumbent may participate in planning meetings with strategic teams for purposes of identifying and communicating necessary statistical approaches to meet research and clinical trial objectives. The Senior Statistician will liaise with medical writers and study investigators in preparing research manuscripts for publication. Specific Duties and Responsibilities•Develops statistical methods and other relevant sections of major deliverables such as protocols, analysis plans, study reports and scientific publications. Prepare key sections of clinical study reports and various regulatory documents.* •Responsible for sample size estimation and justification.*•Responsible for randomization specifications using standard methodology. Develops complex randomization specifications with supervision.*•Works with external vendors to effectively implement the randomization schedule.•Support submission activities and documents, provide input on responses to regulatory authorities and other device development activities, as required. •Contribute to decision making on CRF data collection to ensure alignment with protocol objectives and statistical analyses defined in the protocol. •Actively participates in meetings to identify data collection instruments and database design requirements.•Author statistical analysis plans, including interim analysis and stopping rules, ensuring statistical methods and corresponding details are consistent with the study design, and sufficiently detailed for programming implementation including development of table and listing shells. Coordinate statistical analysis plans written by contractor or junior statisticians.*•Explain statistical concepts to non-statisticians to enhance their understanding of the analysis approach. Clearly communicate fundamental statistical concepts to statisticians and other personnel.•Summarizes and presents results (verbal and written) clearly, including creating reports for the Data Monitoring Committee to review patient accrual, overall study progress, treatment efficacy, and patient safety data.•Independently identifies issues arising in the design, conduct or analysis of clinical trials and proposes alternative analysis strategies or other recommendations to address these issues.•Uses statistical and medical understanding to propose and perform additional analyses appropriately.•Works collaboratively with multi-function teams to complete project deliverables per agreed timelines.•Ensures accuracy and internal consistency of report or publication, including text, tables, listings, and figures. Performs statistical QC for protocol, analysis plan, study report, and other major deliverables, including abstracts, oral and poster presentations and publications.* •Collaborates in publication of scientific research results in assigned areas. Works with project team to develop strategy for data presentation.•Identify and recommend corrections of flaws in scientific logic and statistical interpretation•Ensures consistency in presentation, inference, and adherence to accepted report guidelines and publication practices•Provides critical review to enhance quality of data presentation and scientific/statistical arguments•Participates in departmental activities including recruiting, training, mentoring, and cross-functional collaborations, as needed.•Maintains technical skills and increases own knowledge of new statistical methodology or areas of application through use of the scientific literature and by attending conferences and workshops, opportunity permitting.•Presents own statistical research or review of the statistical literature at meetings and seminars. •Demonstrates ability to act as a resource for other statisticians about a broad spectrum of analysis methods.•Possesses broad programming abilities and shares them with others by consultation and example.•Maintains programming skills even when delegating many programming tasks to others.•Able to guide, negotiate, and coordinate all statistical project responsibilities independently.*•Collaborates with project team members, including the project lead, investigators, statistical colleagues in manner that consistently demonstrates a high level of expertise, experience, and professionalism.•Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. * •Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. * •Ensure other members of the department follow the QMS, regulations, standards, and procedures.* •Perform other work-related duties as assigned. *Indicates an essential function of the role Position QualificationsMinimum education and experience:•Master's degree in Statistics, Biostatistics, Math or other scientific discipline with 6+ (six) years of experience or Bachelor's degree with 8+ years of experience in Clinical trial analysis in a medical device or pharmaceutical environment, or an equivalent combination of education and experience. Additional qualifications: •Competent in study design, descriptive and inferential statistics, clinical trial applications and computer programming.•Understanding of FDA regulatory requirements and ICH/GCP preferred.•High degree of accuracy, organizational skills and attention to detail are essential.•Experience analyzing complex study objectives and developing appropriate analysis specifications and plans. •Exercising judgment in selecting methods, techniques, and evaluation criteria for obtaining results. •Builds strong relationships with peers and cross functionally with partners outside of team Experience writing statistical analysis plan (SAP) from the clinical protocol and other study specific documents. •Familiarity with relational databases and understanding of fundamental statistical methods, such as non-parametric analysis, linear and non-linear models, categorical data and survival analysis techniques.•Able to work under time pressure and handle multiple tasks simultaneously.•Determines methods and procedures on new assignments and may coordinate activities of other personnel. Strong interpersonal, collaborative and communication skills are required. Annual Base Salary Range: $127,000 - $207,000This is the pay range for a mid-cost labor market. If hired in another region, there will be a difference in pay range . We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer•A collaborative teamwork environment where learning is constant, and performance is rewarded.•The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases.•A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, an employee stock purchase plan, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Contact: Neisha Camacho/Terra Parsons - ************************* No 3rd party candidates The Biostatistician II is responsible for having a working knowledge of all related processes with the ability to independently lead a study, support analysis, and provide high-quality documents to support sponsors' research programs. The ideal candidate is a Biostatistician with strong applied SAS skills (including TFLs, inferential analyses, and randomization) who can collaborate cross-functionally with the programming team, while also independently contributing to statistical deliverables and quality review. Experience working on Phase 1 clinical trials is highly desirable, particularly with first-in-human and dose-escalation studies, including PK/PD data and early safety endpoints. Key Responsibilities Follow department and company standard operating procedures (SOPs), forms, templates, and policies. On occasion, may act as senior Biostatistician for simple to complex studies and be the central point of contact for the assigned Biostatistics team, extended internal project team, and the client. Provide input for Biostatistics portion of project timelines. Review protocols for simple to complex studies. Generate randomization schedules using SAS or randomization-specific software. Develop and QC statistical analyses for simple to complex studies. Develop or assist in developing the Statistical Analysis Plans (SAPs) and related table, figure, and listing (TFL) shells. Develop tables of summary statistics and graphics for clinical trials. Assist in answering deficiency letters from regulatory agencies, as required. Utilize SAS to validate statistician programs and results. Perform QC review of analyses and documents prepared by others. Oversee nonclinical projects, work with line manager to direct activities of other Biostatisticians. Coordinate with internal teams to deliver quality documents on time. Represent Biostatistics in client and inter-departmental meetings. Conduct all work in compliance with SOPs, GCP, and regulatory guidelines. Maintain familiarity with client/internal expectations and ensure aligned analyses and documentation. Stay current on global regulatory requirements (FDA, EMA, ICH, GCP). May participate in or lead quality improvement initiatives. Other duties as assigned. Education: Master's Degree in Statistics or a related field required. Core Competencies Excellent verbal and written communication Ability to communicate proactively and clearly with cross-functional teams to ensure alignment on study timelines, deliverables and issues. Professional attitude and strong interpersonal skills Collaborative, client-focused mindset Flexible with work assignments and learning Strong organizational and prioritization skills High attention to detail Understanding of clinical research life cycle and regulations Proficient in Microsoft Word, Excel, PowerPoint Statistical & Technical Skills Own statistical deliverables from design through analysis (e.g., SAPs, TFLs) Moderate SAS programming proficiency, including the ability to perform inferential statistical analyses Review programming output for accuracy and alignment with SAP Protocol review Review of aCRF / eCRF Creating and reviewing SAPs Creating and writing TFL specs and shells Understanding of CDISC standards (SDTM, ADaM) SDTM specifications and domain review ADaM specification writing and domain review ADRG (Analysis Data Reviewer's Guide) creation and review Pinnacle 21 review and input

About Spotfire Spotfire is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire empowers businesses to their digital destinations by interconnecting everything in real time and providing visual data science for everyone, from business users to data scientists. Our more than 10,000 customers include: Majority of the top 10 Energy companies in the world Majority of the top 10 Life Sciences companies in the world 7 of the world's top 10 Manufacturing companies Several other major companies in banking, retail, and airlines We're looking for people with a passion to make a big difference by doing the job they love - dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, innovation-driven environment. Overview Our global Field R&D team is a central part of the company strategy. The team focuses on applied innovation, customer needs, and the community of data scientists. A portion of the team's creations will end up in our products to scale its impact. The team is responsible for enabling our client's competitiveness by improving ROI from their investment in Spotfire. Operating across several sectors, our Field R&D Data Scientists have helped improve the drilling operations of several energy companies, built solutions for reducing fraud in financial trading, worked with NASA medical teams, helped increase yields at some of the biggest semiconductor companies, and initiated changes in California traffic laws. We are looking for a Field R&D Senior Data Scientist with experience in industry verticals such as Energy, Manufacturing, or similar to join our team. The right candidate is seeking an opportunity to deliver hands-on prowess and thought leadership to grow our customer's analytical capabilities with Spotfire. You will join a team of highly collaborative individuals as a key team member and play a significant role in developing our capabilities. You will lead field-inspired R&D projects, represent the company at industry events and contribute to the active customer and partner community. You will participate in technical customer engagements by developing analytical deliverables using methods from exploratory analytics to machine learning, statistical modeling, and AI. You will see R&D projects through its inception, design, deployment, customer feedback, and publication. Responsibilities The position entails the following responsibilities: Delve deep into energy, manufacturing, or similar types of analytical and data science challenges. Engage with customers through presales support and post-sales success projects. Perform and guide R&D topics in the field of applied machine learning and AI. Example topics of research and projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes. Create re usable data models, workflows and test suites in order to streamline project delivery. Provide input into product management and engineering for the product roadmap. Innovate in the areas of application and deployment of machine learning. Tool Kit Development: create demos and templates with data science libraries. Technical marketing: create white papers, blogs and content for the Spotfire user community. Represent the team as a speaker or instructor in industry events and external conferences. Participate in technical customer engagements through understanding Spotfire use cases, providing guidance, and building prototypes. Collaborate with stakeholders on specific industry knowledge, analytics use cases and customer stories related to data science or machine learning in the Energy sector Required Qualifications 5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. Experience with applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources. 5+ years of experience in applying analytics to industry verticals such as Energy, Manufacturing, or similar. Superior communication and storytelling skills with data. The ability to comfortably communicate with customers' senior industry personnel, provide compelling presentations and demonstrations of analytics software, and the business value of analytics projects demonstrating domain knowledge in a key Industry such as Manufacturing, Energy, Telecommunications, Financial Services, Healthcare, or Retail. Capability to formulate a real-world problem into a mathematical equivalent, propose various solutions, compare and contrast them, deploy the solution, validate the results, and present the results to technical and non-technical stakeholders. 5+ years of experience with Python or R and some knowledge of SQL. Some experience with other software environments e.g. Spotfire, Tableau, Qlikview, SPSS, KNIME, Azure, AWS and/or other data mining tools will be a plus. Excellent communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders Strong problem-solving skills, with the ability to identify key areas for improvement and develop data-driven solutions to address them. A Master's or higher degree in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining. Desired Qualifications Experience with other software components for data preparation and integration e.g. Data Virtualization and Big Data tools such as Snowflake or Databricks and/or further programming or scripting environments e.g. .Net, Java, IronPython, Javascript, C++ is a plus. A PhD in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. Benefits may vary depending on the nature of your employment with Cloud Software Group and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. NY generally ranges: $142,692-$214,038 CA generally ranges: $148,896-$223,344 All other locations fall under our General State range: $124,080-$186,120 Benefits may vary depending on the nature of your employment with Cloud Software Group and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others. This requisition has no specific deadline for completion. About Us: Cloud Software Group is one of the world's largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done - from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks. Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap -- a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud. Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications. If you need a reasonable accommodation due to a disability during any part of the application process, please contact us via the Bridge portal for assistance.

Welcome to Perennial. Perennial is building the world's leading verification platform for soil-based carbon removal. Our vision is to unlock soil as one of the world's largest carbon sinks. To do that, we are building trusted standards, tools, and technologies to help verify climate-smart agriculture. Perennial uses advanced remote measurement technology for soil carbon sequestration and emissions. We fuse machine learning, ground observations, and satellite data to map soil carbon and land-based GHG emissions at continent-level scales. This technology is powering the future of climate-smart agriculture and helping the food supply chain decarbonize. At Perennial, you will work in a mission-driven and collaborative environment alongside a diverse team with backgrounds spanning science, technology, carbon markets, and agriculture. Our headquarters is located in Boulder, CO USA. We are a fully-flexible company for remote and hybrid work. We're venture-backed by mission-aligned investors including Temasek, Bloomberg, Microsoft Climate Innovation Fund, SineWave Ventures, Alumni Ventures Group, and Collaborative Fund.Position Overview As a Senior Data Scientist, you will be responsible for applying our algorithms and methodologies using machine learning and remote sensing data to quantify the benefits of regenerative agriculture at scale for our customers. The Perennial team is advancing the field of digital soil mapping (DSM) through impactful applied research, peer-reviewed science, and methodology development to bring DSM into the voluntary carbon markets (see our work with Verra). You will help us work directly with our customers to quantify changes in soil organic carbon stocks in agricultural soils, deliver reliable results, and partner with our applied scientists and engineers to continually improve our models and processes that support a variety of carbon offset and Scope 3 projects. What You'll Own Train, improve, and deploy machine learning models for predicting soil carbon stock with remotely-sensed covariate data and limited training data End-to-end deliveries for our customers: train models, run predictions, and ensure quality results are delivered in customer reports Interface directly with customers to learn about their needs and pain points, and partner with our business development team to identify solutions Work with other data scientists, engineers, and policy experts to ensure that our data and methods comply with various standards and methodology requirements specific to a given project Characterize the accuracy and uncertainty of model predictions and demonstrate the dependence of performance metrics on the surrounding context and parameters of carbon projects Execute efficiently throughout full development cycle, from performing exploratory data analysis and initial R&D to rapid prototyping and hardening models for production Communicate your research internally and externally through detailed documentation, conference presentations, and peer-reviewed publications What You'll Bring Master's degree or Ph.D. in statistics, math, computer science, remote sensing, AI/ML, ecosystem science, soil science, geography, or a related STEM field 5-8 years of industry or research experience in data science, applied ML, geospatial analysis, or related fields Strong proficiency in Python for data science (e.g. pandas, scikit-learn, xarray, numpy) Experience working directly with customers Experience building machine learning, statistical, or time series models informed by remotely-sensed data or large spatial datasets Good communication and collaboration skills with functional and cross-functional teams Ability to independently manage a project and deliver results What Will Make You Stand Out Experience working in the soil carbon MRV space and familiarity with relevant methodologies and tools (e.g. VM0042, VM0032, VMD0053) Expertise in the open source geospatial python stack. Basic raster and vector operations, e.g. resampling, tiling, clipping, extracting, spatial statistics, harmonizing data Experience in a solutions engineer or scientist role Experience quantifying uncertainty of spatial maps, or more generally geostatistics or spatial stats, esp. with machine learning Experience working with Google Earth Engine and GCS Startup experience or a strong entrepreneurial mindset (generally private company experience) Why You'll Love Working Here We live by our Core Values. Speak your truths, welcome new voices. Celebrate your successes, own your mistakes. Solve important problems. Invest in each other. Build for the future .Get your hands dirty! We challenge the status quo. We're a group of people who want to create the changes we hope to see in the world. See some of our recent press about the problems we're committed to solving. We invest in your life. We want to provide you with resources to meet your needs both in and outside of work. We offer generous PTO, health, vision, dental, 401k, and HSA benefits and a fully stocked kitchen to keep your mind sharp throughout the day. We want you to grow. We are a team that supports each others' professional and intellectual growth. You'll have access to regular opportunities to learn from teammates and invest in your professional development. We offer competitive compensation packages. Our team is our most valuable asset. We want everyone who works for us to feel fairly compensated for the impact they bring to our mission. The team member in this role can expect a starting salary in the range of USD $150,000-$180,000 (commensurate with experience and location), along with equity in the company. Perennial is an equal opportunity employer. We celebrate and embrace diversity and are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As a Data Scientist on the Retailer team, you'll tackle a diverse set of challenges, such as optimizing logistics and freight costs and calculating optimal credit limits. You'll also contribute to growing Faire's retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value. You'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data. Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there! What you'll do * Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable. * Underwriting: Improve Faire's Net terms portfolio by evaluating creditworthiness of retailers on Faire's platform. Use predictive modeling to dynamically assign credit terms limits that minimize default risk and maximize growth. * Retailer Growth & Lifecycle: Build models to automatically generate landing pages and content to target search engine demand. Use natural language processing to understand search engine keyword intent and match to relevant internal content. Build ML models to generate intelligence about retailers to power personalization. Predict retailer lifetime values to optimize retailer acquisition spend. Qualifications * An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc. * Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning) * Strong programming skills (Python, Java, Kotlin, C++) * Knowledge of statistical techniques such as experimentation and causal inference * SQL or other database querying experience preferred * An excitement and willingness to learn new tools and techniques Salary Range California: the pay range for this role is $192,000 to $264,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire * We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. * We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. * We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. * We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

Job Classification: Technology - Data Analytics & Management As the Global Asset Management business of Prudential, we're always looking for ways to improve financial services. We're passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world. We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you'll unlock a motivating and impactful career - all while growing your skills and advancing your profession at one of the world's leading global asset managers! If you're not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that's investing in your future by shaping tomorrow today. At PGIM, You Can! PGIM Data Science is a newly established team and you will join it as key founding member. As the Data Scientist for PGIM, you play a pivotal role in shaping and executing PGIM's data-driven strategy, specifically in asset management area. You will partner with other cross-functional teams, data engineers, financial analysts and business leaders to shape the future of PGIM's data landscape. This role closely engages with the development of advanced data science projects and data driven insights to significantly elevate business outcomes. You will solve meaningful business problems using advanced machine learning models. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and/ from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis 3 days per week and can change based on future updates to the company's in-office presence policy. Responsibilities * Drive the development, deployment, and optimization of advanced machine learning models for financial applications, ensuring scalability, accuracy, and robustness. * Design and implement machine learning models, including regression, classification, clustering, time-series forecasting, natural language processing (NLP) and reinforcement learning for cross-divisional asset management mandate. * Build robust feature engineering pipelines by leveraging financial data sources, transactional datasets, and alternative data. * Ensure model interpretability and risk mitigation, aligning with model risk management and governance frameworks. * Conduct model validation, back-testing, and performance monitoring, implementing adaptive strategies based on market conditions. * Collaborate with quantitative researchers, financial analysts, and engineering teams to integrate models into real-time production environments. * Optimize model efficiency, robustness, and compliance with regulatory guidelines. Qualifications * A minimum of a Master's degree in Statistics, Data Science, Applied Mathematics, Computer Science, or comparable quantitative disciplines. PhD is preferred. * 1+ years of working experience in advanced machine learning techniques, including: * Reinforcement Learning (Q-learning, deep Q-networks, policy gradient methods) * Natural Language Processing (text embeddings, topic modeling, entity recognition, transformer-based models for financial document analysis) * Hands-on experience in back-testing, and performance evaluation and monitoring of the models in asset management industry * Preferably hands-on experience in developing LLM, NLP, NLU, NLG, deep learning models, and transformer models, with a focus on developing conversational AI solutions. * Proficiency in Python, R, SQL, and the corresponding machine learning libraries. * Preferably strong knowledge of machine learning application in financial industry, but not required. * Experience in deploying ML models into production, optimizing for efficiency, scalability, and interpretability. * Excellent documentation, communication and presentation skills, can influence without authority * Team-orient mindset and can-do attitude What we offer you: * Market competitive base salaries, with a yearly bonus potential at every level. * Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. * 401(k) plan with company match (up to 4%). * Company-funded pension plan. * Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. * Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. * Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. * Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com. If you are experiencing a technical issue with your application or an assessment, please email *************************************** to request assistance.

Role Description We're looking for a Senior Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 6+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$173,700-$234,900 USDUS Zone 3$154,400-$208,800 USD

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower's Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners. What you will do: Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks. Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests. Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices. Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities. Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows. Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review. Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders. Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices. What you will bring: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience. 6+ years of professional data science experience. Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments. Strong grounding in experimental design, statistical analysis, and model evaluation methodology. Experience collaborating with engineering and product teams in an agile, iterative delivery environment. Proficiency in Python and SQL for data analysis and evaluation workflows. Experience working with modern cloud platforms such as AWS. Strong communication skills and ability to operate effectively in a matrixed team model. Technology Environment Cloud platforms such as AWS, including managed data and ML services. Data storage and retrieval technologies such as relational and NoSQL databases. Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI. Collaboration and delivery tools supporting agile development and cross-functional workflows. Security and Risk Awareness Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk. Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities. Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews. What Will Set You Apart Experience evaluating Generative AI or LLM-based systems. Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques. Familiarity with Responsible AI principles, governance frameworks, or model documentation practices. Experience translating research or experimental methods into repeatable, production-aligned workflows. This is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this . You may be required perform other duties that are not included on this . The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. Medical, dental, vision and life insurance Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup Tuition reimbursement up to $5,250/year Business-casual environment that includes the option to wear jeans Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year Paid volunteer time - 16 hours per calendar year Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $105,700.00 - $149,275.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 01-24-2026 Want the latest money news and views shaping how we live, work and play? 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Job DescriptionSr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met. This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems. This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements Develop data models top optimize and improve work of e-commerce functions Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape Data Scientist Requirements: Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science). Must have data modeling, predictive analytics and/or machine learning experience 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI This is not a developer position, but you must possess strong SQL coding skills Experience in data mining and understanding of machine-learning and operations research is an advantage Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills Nice to have: Experience in data mining and understanding of machine-learning and operations research is an advantage Proficiency in Excel, PowerPoint, MS Access is a plus Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset Knowledge of Python will be a plus Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at ******************* . ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.

What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. Responsibilities Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. Qualifications 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred Bachelor's degree in related field, or equivalent work experience, preferred GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. What is expected of you and others at this level Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects Participates in the development of policies and procedures to achieve specific goals Recommends new practices, processes, metrics, or models Works on or may lead complex projects of large scope Projects may have significant and long-term impact Provides solutions which may set precedent Independently determines method for completion of new projects Receives guidance on overall project objectives Acts as a mentor to less experienced colleagues Anticipated salary range: $121,600 - $173,700 Bonus eligible: Yes Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. Medical, dental and vision coverage Paid time off plan Health savings account (HSA) 401k savings plan Access to wages before pay day with my FlexPay Flexible spending accounts (FSAs) Short- and long-term disability coverage Work-Life resources Paid parental leave Healthy lifestyle programs Application window anticipated to close: 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here

Team Name: MarketingJob Title:Senior Data Scientist, Mobile User Acquisition - Blizzard (Irvine, CA) Requisition ID:R026169Job Description: It takes a Blizzard to make a Blizzard game, and that dedication doesn't end once the game launches. We support our worlds for years, ensuring every player-on every platform-has an epic experience. Global Insights partners closely with our game teams, marketing, user acquisition, finance, and internal service groups to deliver the analytics, models, and strategic insights that help bring those experiences to life. Within Global Insights, the Marketing Analytics team applies advanced analytics and data science to help our marketing and growth teams make smarter, data-driven decisions that deepen engagement and drive long-term business impact. We are seeking a Senior Data Scientist with deep experience in mobile marketing analytics to join our team. In this role, you will build predictive revenue and LTV models, develop probabilistic attribution, marketing mix models, and create systems that allow us to understand-and optimize-the true impact of our mobile marketing investments. The ideal candidate has a passion for using data to shape mobile player acquisition and retention strategies, thrives in highly collaborative environments, and can translate complex analytical concepts into clear, actionable insights for partners across Blizzard. Responsibilities Build and maintain automated and dynamic predictive LTV models for mobile apps across multiple geographies, channels, campaigns, and platforms. Develop automated revenue and user growth forecasting systems that integrate with UA and finance workflows. Own the statistical framework for cohort modeling, retention projections, ROAS forecasting, and lifetime value prediction. Lead measurement strategy in a privacy-centric ecosystem, including: SKAdNetwork (SKAN) configuration and model-based postback interpretation Probabilistic attribution and MMM Incrementality testing and causal inference Funnel and cohort analysis across a complex landscape of iOS/Android/PC and Console Build data pipelines and automated reporting that harmonize deterministic and probabilistic signals. Collaborate with marketing, finance, and business teams to translate insights into actionable strategies by providing: Paid media performance insights Budget planning and scenario modeling, both one off and automated Creative testing analytics Channel-level optimization recommendations Build and maintain data pipelines and dashboards to monitor marketing KPIs and model outputs. Present findings and recommendations to stakeholders in a clear and compelling way. Stay informed on emerging trends and best practices in marketing analytics and data science. Requirements 8+ years of experience in data science, analytics, or a related field, with deep expertise in mobile marketing, predictive revenue modeling, or mobile UA analytics. Advanced degree (Master's or PhD) in Statistics, Applied Mathematics, Economics, Computer Science, or another quantitative discipline. Expert knowledge of: Cohort-based modeling and LTV prediction Marketing measurement frameworks (SKAN, ATT, MMM, incrementality) Paid media platforms: Meta, Google, TikTok, DSPs, SANs Probabilistic and deterministic attribution approaches, last-click attribution and alternatives Experience deploying models and working with engineering teams to automate workflows. Strong programming experience in Python (or R) and proficiency in SQL. Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and advanced statistical modeling techniques. Hands-on experience with modern data and analytics tools, including BigQuery/Snowflake, Airflow/dbt, Tableau/Looker, and Python-based ML frameworks (scikit-learn, TensorFlow, PyTorch). Expertise in data visualization and storytelling using Tableau, Power BI, Looker, or similar tools. Demonstrated ability to solve complex problems independently and lead cross-functional initiatives. Preferred Qualifications Hands-on experience with: o MMPs (AppsFlyer, Adjust, Singular) o SKAN 4 or 5 readiness and schema design o Mobile data pipelines (event ingestion, postback processing) · Knowledge of cloud platforms (AWS, GCP, Azure) and modern data engineering tools. Strong business acumen and the ability to influence senior leaders through compelling, data-driven insights. A passion for Blizzard games and for helping shape unforgettable mobile experiences through data craftsmanship. Your Platform Best known for iconic video game universes including Warcraft , Overwatch , Diablo , and StarCraft , Blizzard Entertainment, Inc. (****************** a division of Activision Blizzard, which was acquired by Microsoft (NASDAQ: MSFT), is a premier developer and publisher of entertainment experiences. Blizzard Entertainment has created some of the industry's most critically acclaimed and genre-defining games over the last 30 years, with a track record that includes multiple Game of the Year awards. Blizzard Entertainment engages tens of millions of players around the world with titles available on PC via Battle.net , Xbox, PlayStation, Nintendo Switch, iOS, and Android. Our World Activision Blizzard, Inc., is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty , World of Warcraft , Overwatch , Diablo , Candy Crush™ and Bubble Witch™. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet! Our ability to build immersive and innovative worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners. We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $92,920.00 - $171,814.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Senior Data Scientist, Data Journalism San Mateo, CA (hybrid)* This position will also require onsite work at least one day/week at our San Mateo location. As a Senior Data Scientist focused on Data Journalism in the Product Data Science team, you will be working at the forefront of data science to uncover and share important data stories by exploring user behavior across the PlayStation ecosystem and discovering and communicating new information about our users and our ecosystem that will advance our company's ability to use data. You will work with team members and internal customers to harness your knowledge of data communication and data analysis techniques in order to unravel complex phenomenon and inform decision making throughout the company that will help create a personalized, joyous experience for PlayStation users around the world. Responsibilities: Identify and bring to life data stories that are present but unexplored in the team's output in a way that is both accurate and approachable. Use impactful visuals and concise narratives to create compelling stories for technical and non-technical audiences in product management, partner services, commerce, strategy, data, and engineering departments. Explore PlayStation data to ensure that you are using the best source of data for your analyses and maintaining awareness of any issues of interpretation that may arise. Perform ad-hoc analyses on petabytes of complex data. Learn new tools as appropriate and determine how best to convey your stories in the tools and formats that are available to you. Develop a thorough understanding of the business, our products, partners, and users, how information flows through the company, and how the PDS team contributes to and supplements that flow. Provide critical information to diverse audiences to inform decision making, increase understanding of our ecosystem, and inspire action and innovation. Required Skills and Qualifications: Strong understanding of data manipulation techniques, including intermediate or advanced understanding of SQL and Python or other similar languages. Excellent data storytelling skills, with the ability to translate complex data into clear, engaging, insightful narratives. Strong analytical and problem solving skills. Proficiency with data visualization tools. Experience working with large, complex datasets. Keen sense of what data stories should be told and how to tell them. Excellent communication and interpersonal skills and the desire and ability to work collaboratively with people from different areas of expertise and build and maintain relationships with a variety of partners and internal customers. Strong business sense and interest in what we do and how we do it. Ability to adapt your thinking when faced with new evidence. Preferred Qualifications: Knowledge of the gaming industry or related domain areas (e.g., media or entertainment). Familiarity with Streamlit or similar frameworks. Experience working closely with data scientists and/or data engineers. Experience working in a global environment. Ability to influence without authority. *PlayStation offers a global hybrid office/remote working model - Flex Modes - which aims to combine the flexibility of remote working with the magic of in-person collaboration. The model is built upon the principle of working together in-person as work requires, with the freedom to work remotely otherwise. We will consider fully remote candidates who are able to come in for 'Moments that Matter'. #LI-KD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$182,500-$273,700 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.