Biostatistician work from home jobs - 374 jobs

Please no third party applicants A pharmaceutical company is looking for a Senior Biostatistician for a 6-month renewable project. This consultant must be very hands-on and have proven experience supporting regulatory submissions. In addition, they must possess strong programming skills (TLFs) and CDISC expertise. Strong communication is critical. EXPERIENCE & QUALIFICATIONS 8-10+ years of biostatistics experience in the pharmaceutical industry with recent Sponsor side experience Minimum of MS degree in Biostatistics/Statistics Must have recent hands-on statistical experience such as drafting SAPs and conducting programmatic TLF reviews Proven track record with regulatory submissions Ability to analyze data and provide guidance to the statistical programming team if needed Excellent communication skills to interpret and explain complex results to the study team LOCATION: Work will be performed remotely and prefer to accommodate PST core working hours.

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

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

The Biostatistician requires frequent interaction with leadership, scientists, epidemiologists, subject matter experts, and external academic and federal partners. The role directly supports evidence-based decision-making for vaccine policy by delivering rigorous statistical analysis, data management, and scientific reporting in a fast-paced, mission-critical environment. Chickasaw Nation Industries, Inc. serves as a holding company with multiple subsidiaries engaged in several lines of business (Technology, Infrastructure & Engineering, Health, Manufacturing, Public Safety, Consulting, and Transportation) for the federal government and commercial enterprises. A portion of our profits is used to support Chickasaw citizens. We are proud to support the economic development and long-term viability of the Chickasaw Nation and its people. CNI offers premium benefits eligible on the first day of hire to full time employees; (Medical - Dental - Vision), Company Life Insurance, Short-Term and Long-Term Disability Insurance, 401(K) Immediate Vesting, Professional Development Assistance, Legal Aid Assistance Program, Family Planning / Fertility Assistance, Personal Time Off, and Observance of Federal Holidays. As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act. ESSENTIAL REQUIREMENTS Must be able to obtain and maintain the required customer clearance for access to systems, facilities, equipment and property. CDC / health / science experience is strongly preferred. ESSENTIAL DUTIES AND RESPONSIBILITIES Essential duties and responsibilities include the following. Other duties may be assigned. Design, test, and produce high-quality data collection tools and survey instruments (e.g., questionnaires, case report forms, electronic data capture forms, and data entry interfaces) tailored to client's research and evaluation needs. Develop, clean, document, and maintain secure, structured databases using CDC-approved platforms, ensuring data integrity, version control, reproducibility, and compliance with federal data security standards. Perform advanced statistical data analyses on complex public health and clinical datasets using client-approved statistical software, including descriptive, inferential, and multivariable modeling techniques. Conduct systematic literature reviews and evidence synthesis to inform study design, analytic approaches, and interpretation of findings. Collaborate closely with the client's internal teams and external partners to ensure scientific rigor, appropriate methodology, and accurate interpretation of data collection and analysis results. Provide statistical consultation on study design, sample size calculations, weighting methodologies, and adjustment for bias in observational and survey data. Assist in the preparation and authorship of abstracts, peer-reviewed journal articles, scientific reports, and presentations for internal and external audiences. Prepare clear, publication-ready tables, figures, and visualizations that adhere to CDC clearance requirements, Section 508 accessibility standards, and plain language principles. Deliver all products on time, with documented code, reproducible results, and full compliance with CDC information quality guidelines and federal regulations. EDUCATION/EXPERIENCE MS/MPH/MBA or similar degree and a minimum of ten (10) years of experience working in communications project management and communications department management PHYSICAL DEMANDS Work is primarily performed in an office or field environment. Regularly required to sit, speak and hear. Frequently required to walk. Required to use hands to finger, handle, or feel and reach with hands and arms. Occasionally required to stand, climb or balance and stoop, kneel, crouch, or crawl. Occasionally lifts and/or moves up to 20 pounds. Able to withstand the rigors of inclement weather to include extreme heat and cold. May be required to carry up to 40 pounds of training equipment. Exposed to work outdoors in adverse weather conditions. Capable of walking long distances over broken ground and may have to remain standing for extended periods of time in order to support training on range operations. Capable of climbing up/down on a variety of military and armored vehicle platforms. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. EOE including Disability/Vet *Please note, that this position is contingent upon the award or funding. The essential duties, experience, education requirements, and salary are subject to change. * The estimated pay range for this role is $100K to $120K, with the final offer contingent on location, skillset, and experience. CNI offers a comprehensive benefits package that includes: Medical Dental Vision 401(k) Family Planning/Fertility Assistance STD/LTD/Basic Life/AD&D Legal-Aid Program Employee Assistance Program (EAP) Paid Time Off (PTO) - (11) Federal Holidays Training and Development Opportunities Your application submission will be considered for all potential employment opportunities with Chickasaw Nation Industries (CNI).

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.

Our client is a leading CRO with a fantastic reputation for delivering quality results. They are currently looking for Biostatisticians at all levels, and these positions can be remote. All the Biostatisticians here are hands-on; some have managerial responsibilities, and some are individual contributor roles. They do ask that Biostatisticians have strong programming skills, though there is a Programming team there as well for support. Also, a good grasp of CDISC, ADaM, and SDTM standards is important here. This CRO has a mix of both FSP and standard outsourcing models ranging from small to large pharma and biotech companies so there is much opportunity to contribute in various, diverse ways across phases and therapeutic areas. This is a fantastic opportunity to deepen and broaden your statistical experience in a well-established and stable company.

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.

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.

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.

At Angi , we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: Homeowners have turned to Angi for more than 300 million projects 1,000+ home service tasks covered 2,800 employees worldwide Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote

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

THE TEAM & THE JOB We are seeking a talented and self-motivated Senior Data Scientist/AI Engineer to join our team. In this role, you will design, build, and deploy next generation AI-driven tools for market research. You will work at the intersection of data science and AI engineering. We develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. We handle the most difficult data problems at our company, including massive datasets, missing data, self-selection, measurement error, fraud detection, attrition, and many more. This is a hands-on role that requires both analytical and programming skills at an advanced level. WHAT YOU WILL BE DOING * Design and build AI-powered applications to analyze, summarize, and generate insights from survey data. * Contribute to technical design and architecture decisions for AI/ML systems. * Develop and optimize prompts and chains. * Build applications to simplify analytics and improve the efficiency of data processing. * Work with structured and unstructured data * Collaborate with data analysts, product managers, UI designers, and software developers to create great products. * Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics. * Stay up to date with recent developments in AI and machine learning, including LLMs, fine tuning, and RAG pipelines. * Handling ambiguous, complex problems with minimal guidance * Contribute to technical vision, architectural decisions, or to help setting technical standards. * Contribute to business impact and strategic problem-solving at an organizational level as and when required. KEY COMPETENCIES * Master's or PhD in data science or related field. * Demonstrable progressive experience in senior data science/AI engineering roles. * Advanced knowledge in Python and/or R for data analysis, modelling, and visualization. * Experience working with LLM APIs and building LLM-based applications and frameworks. * Progressive experience with natural language processing, including topic modelling, text classification, and summarization. * Experience in taking part in cross-functional technical projects. * Ability to write clean, maintainable, well-documented code. * Proven track record of delivering complex, high-impact solutions. * Ability to cross collaborate with other teams across the business. For roles based in California, New York, Colorado or Washington State, the base salary hiring range for this position is USD 188,864 - USD 211,600. Compensation offered will be determined by multiple factors including location, job-related knowledge, skills and experience. Certain roles may be eligible for incentive compensation and additional benefits. All US based full time employees are eligible for the following benefits: * Paid vacation, holidays and sick days * Flexible working arrangement available * Group medical, dental and vision insurance * Company-paid life and disability insurance * Paid parental leave * 401(k) with company match Why join YouGov? Join our global team to help us achieve our social mission: to make millions of people's opinions heard for the benefit of our local, national, and international communities. Understanding diversity of opinion requires diversity of background. Although our global panel of millions of people worldwide powers our research, our biggest asset is our people. If our research is to be truly representative of what the world thinks, we need people from all walks of life to be part of the team to bring their perspective to the work we do. Life at YouGov We are driven by a set of shared values. We are fast, fearless, and innovative. We work diligently to get it right. We are guided by accuracy, ethics, and proven methodologies. We respect and trust each other, bringing these values into everything that we do. We strive to provide YouGovers with best-in-class benefits to support their physical, financial, and emotional wellbeing. We want our employees to have a sense of belonging and uniqueness in a supportive workplace, so they can bring their full selves to work. Equal Opportunity Employer As an Equal Opportunity Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity or expression, and sexual orientation), parental status, national origin, marital status, age, disability, genetic information, HIV status, political affiliation, socioeconomic background, veteran status or any other characteristic protected by law or in line with our responsibilities as a fair and ethic employer. All employment decisions are made based on occupational qualifications, merit, and business need. Data Privacy To find out how we collect and use your personal data when you apply for a role at YouGov, please read our privacy notice at *******************************

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. As a Senior Data Scientist, you will play a pivotal role in advancing Reify Health's data-driven solutions for clinical trials. In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. You'll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while innovating on predictive analytics. This role involves close collaboration with cross-functional teams (especially ML Engineering) to translate complex data insights into practical, impactful tools for the clinical research community. What You'll Be Working On Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and enrollment trends, enabling better planning and resource allocation across trial sites. Patient Matching/Ranking Algorithms: Support projects to build algorithms that intelligently match patients to (or rank patients for) appropriate clinical trials, enhancing recruitment efficiency and patient inclusion. Develop Other Advanced Statistical Models: Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant. Data Pipeline & Tooling Development: Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling scalable model training and deployment. Regulatory Compliance in Data Science: Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling. Cross-Functional Collaboration: Work closely with machine learning engineers, product managers, and other stakeholders to integrate models into products and clearly communicate insights and recommendations. What You Bring to OneStudyTeam Education: Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field (or equivalent professional experience). Experience: 5+ years of hands-on data science or analytics experience, preferably in a healthcare, clinical research, or other highly regulated data environment. Statistical & ML Expertise: Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian methods, regression analysis, and time-series forecasting. Model Monitoring & Fairness: Proficiency in evaluating model performance and bias, with the ability to implement AI monitoring tools and bias mitigation strategies to ensure ethical and reliable outcomes. Technical Toolset: Advanced programming skills in Python (with libraries such as scikit-learn, PyMC, mlforecast, etc.) and SQL, as well as familiarity with data transformation tools like dbt. Cloud & Data Infrastructure: Hands-on experience with cloud-based analytics and ML services, especially AWS tools (Athena for querying, Redshift for data warehousing, SageMaker for model development/deployment). Regulated Data Handling: Experience working with sensitive healthcare or clinical trial data under regulations like HIPAA and GDPR, demonstrating a deep commitment to data privacy and security best practices. Collaborative Communication: Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business solutions. Domain Knowledge: Understanding of clinical research or health-tech environments is highly valuable, including insight into clinical trial operations and a passion for improving patient outcomes through data. We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here).

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

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position. The Senior Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Collaborate with the broader analytics community to share standard methodologies and techniques What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 4 years of experience with model development or other advanced fraud detection algorithms Over 3 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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.