Biostatistician remote jobs

🔗Are you being referred to one of our roles by a connection in Alira Health? If so, please apply using the referral link emailed to you. Join our global team dedicated to innovation and initiative, where physical walls and different time zones don't limit, but encourage, collaboration. Where all contributions and new ideas are explored with an open mind and work is driven by our shared values: be courageous, be accountable, be honest, be inclusive and elevate others. Summary The Senior Biostatistician carries out tasks assigned within the timelines and the standards of quality, while providing supervision to biostatisticians, preparing Statistical Analysis Plans and writing the statistical methodology and results sections of reports. The Senior Biostatistician provides statistical input to the design and review of Protocols and Case Report Forms and prepares and performs trainings of other staff and clients on statistical methodology and statistical principles. Job Description THE SENIOR BIOSTATISTICIAN ROLE The Senior Biostatistician carries out tasks assigned within the timelines and the standards of quality, while providing supervision to biostatisticians, preparing Statistical Analysis Plans and writing the statistical methodology and results sections of reports. The Senior Biostatistician provides statistical input to the design and review of Protocols and Case Report Forms and prepares and performs trainings of other staff and clients on statistical methodology and statistical principles. ESSENTIAL JOB FUNCTIONS* Writes and reviews the statistical methodology and results sections of reports Review of Statistical analysis (tables, figures and listings) and specifications of clinical trials Performs sample size calculation Writes Blind Review plans and reports Writes and review statistical parts of scientific articles Prepares and reviews Statistical Analysis Plans Advises other staff and clients on statistical methodology and statistical principles. Participates and conducts Blind Review meeting. Supports the presentations to clients and manages the technical communications with client when assigned as lead statistician to a study Create SAS and/or R programs for Datasets and TLFs validation Prepares and performs training to internal/external staff on statistical methodology and statistical principles Provides statistical input to the design and review of Protocols and Case Report Forms Participates to DMC/DSMB meetings Provides support to DMC/DSMB charter preparation Reviews the specifications for analysis datasets Conducts other activities as required PREPARATION, KNOWLEDGE, SKILLS & ABILITIES Master's degree in Statistics At least 3 years of experience in Biostatistics SAS Programming, Good R Programming, Basic/Good Broad Range of Statistical methodology skills, Very Good ICH E9 Statistical Principles for Clinical Trials, Very Good English, Good MS Office Suite, Good Professional Trustworthy Ability to effectively prioritize Quality focused Personable Attitude Willingness to learn Team Player Effective Stress Management Techniques Learning Agility Ability to Manage Conflict Problem Solving Skills Effective Verbal Communication Skills Commercial and Technical Writing Skills Networking Skills Languages English Education Bachelor of Arts (BA): Statistics Contract Type Regular

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.

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

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. As a Data Scientist in our Core organization, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do: Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we're looking for: 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who's able to partner with cross-functional leadership to quickly turn insights into actions Bachelor's degree in Computer Science, a related field or equivalent experience Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$139,764-$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open Date 11/24/2025 Requisition Number PRN43671B Job Title Biostatisticians Working Title Biostatistician Career Progression Track P00 Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code Professional Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Full-time, 40 hours per week. Monday - Friday This position offers a flexible, mostly remote work schedule for candidates who reside along the Wasatch Front. While most duties can be performed remotely, the employee must be available to attend essential meetings and events on campus as needed. This position may require occasional travel. VP Area U of U Health - Academics Department 02228 - Data Coordinating Center Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range Depends on Experience Close Date 02/24/2026 Priority Review Date (Note - Posting may close at any time) Job Summary Biostatisticians The University of Utah Data Coordinating Center (DCC) is seeking a biostatistician to join our collaborative, data driven team. The Utah DCC partners with investigators nationwide to provide data management, project management, and statistical expertise for large-scale multicenter research studies spanning a wide range of clinical and public health topics. As a member of the team, you will contribute to study design, perform statistical analysis, and support reporting and dissemination of results across diverse research areas. Ideal candidates bring solid knowledge of standard statistical procedures, moderate programming skills in at least one statistical language (such as SAS or R), and familiarity with relational databases and large-scale data systems. Attention to detail, the ability to critically think through complex analyses, and a collaborative approach to problem-solving are essential in this dynamic research environment. This position offers the opportunity to work closely with investigators, data scientists, clinicians, public health experts, and other biostatisticians to advance high-impact research through data-driven insights. The Utah DCC is a full-service Academic Research Organization (ARO) that operates a comprehensive Clinical and Data Coordinating Center. We support investigators and sponsors in academics, government, and industry with end-to-end expertise in research design, management, execution, and analysis. Our mission is to harness the power of collaboration, advance science, move society, and benefit humanity. Our vision is a world where transformative scientific innovation persistently moves society and humanity forward. The Utah DCC offers a career ladder for biostatisticians and professional development opportunities. To learn more about the Utah DCC, visit ***************************** Work Environment and Level of Frequency typically required Often: Office environment Physical Requirements and Level of Frequency that may be required Nearly continuously: Repetitive hand motion (such as typing), hearing, listening, talking, walking Often: Sitting, bending, twisting Seldom: Repetitive foot motion, climbing, kneeling, squatting, crawling, balancing, reaching overhead, pulling, pushing The University of Utah offers a comprehensive benefits package including: * Excellent health care coverage at affordable rates * 14.2% retirement contributions that vest immediately * Generous paid leave time * 11 paid Holidays * 50% tuition reduction for employee, spouse, and dependent children * Flex spending accounts * Free transit on most UTA services * Employee discounts on a variety of products and services including cell phones & plans, entertainment, health and fitness, restaurants, retail, and travel * Professional development opportunities Learn more about the great benefits of working at the University of Utah: ************************** This is posted as open-rank and may be filled at any of the listed job levels. Responsibilities Ensure the statistical integrity and accuracy of biomedical or clinical research data. Perform statistical design, modeling, and analysis. Provide statistical summaries and reports of studies in support of product development. Consult with scientists and engineers to ensure proper use of statistical methodology and interpretation of results. Program statistical software packages (e.g., SAS/STAT, Stata, or R) to improve quality and efficiency of life science projects. May respond to questions from regulatory authorities on statistical issues. Essential Functions: * Develop and manage analysis datasets and associated documentation, including dataset specifications and data checks. * Perform statistical analyses using standard methods and statistical software (e.g., SAS, R, Stata) and prepare analytic deliverables such as tables, figures, and reports for interim and final results. * Interpret and clearly communicate results including statistical methods, findings, and limitations to both technical and non-technical audiences. * Collaborate with multidisciplinary study teams including investigators, data managers, and other study staff by providing statistical perspective and input across all study stages (study design, enrollment, and post-enrollment). * Maintain quality assurance and documentation standards for all analytic work to ensure reproducibility, transparency, and compliance with Utah DCC standard operating procedures. * Coordinate with supervising and faculty biostatisticians to prioritize and manage competing project timelines, communicate progress, and proactively address challenges in data or design. * Contribute to manuscripts, abstracts, and presentations including drafting analysis sections, generating summary outputs, and assisting with methodological explanations. * Support database and data system development including collaboration on data structure design, data dictionary maintenance, and familiarity with relational databases (e.g., SQL, REDCap, or other clinical data management systems). * Identify and troubleshoot statistical or data-related issues, proposing potential solutions and escalating as appropriate. Engage in continuous professional development, staying current on statistical methods, programming practices, and data management tools relevant to clinical and public health research. Department intends to fill vacancies and may choose to fill at any of the below job levels dependent on business needs and budget: Biostatistician, I Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment. Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree. Biostatistician, II Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience. Biostatistician, III Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment. Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience. Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience). Department may hire employee at one of the following job levels: Biostatistician, I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree. Biostatistician, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience. Biostatistician, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience. Preferences Applicants will be screened according to preferences. * Experience with SQL or similar query languages and a strong understanding of relational database structures. * Prior experience working with large, multi-site clinical or public health datasets. * Demonstrated ability to manage multiple priorities effectively, meet deadlines, and maintain high-quality deliverables in a collaborative research setting. * Advanced programming proficiency in at least one statistical software package (e.g., SAS, R, Stata), including data manipulation and analysis workflow automation. * Familiarity with data management tools or platforms such as REDCap, AWS, or other secure research data environments. * Excellent attention to detail and commitment to accurate, reproducible, and well-documented analytic practices. Type Benefited Staff Special Instructions Summary Additional Information The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at ************** for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at ************** or ************** or University Human Resource Management at ************** if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education. Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at: *************************************** Online reports may be submitted at oeo.utah.edu ************************************ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South. Posting Specific Questions Required fields are indicated with an asterisk (*). * * What is your highest level of completed education? * None * High School Diploma or Equivalent * Associate Degree * Bachelor's Degree * Master's Degree * Doctorate Degree * * How many years of related work experience do you have? * Less than 2 years * 2 years or more, but less than 4 years * 4 years or more, but less than 6 years * 6 years or more, but less than 8 years * 8 years or more, but less than 10 years * 10 years or more, but less than 12 years * 12 years or more, but less than 14 years * 14 years or more * Will you now or in the future require sponsorship for employment visa status (e.g., H-1B status)? * Yes * No * Are you legally authorized to work in the United States? * Yes * No Applicant Documents Required Documents * Resume * Cover Letter Optional Documents * Historical Only - Do Not Use - See Description for More Information - Appropriate discharge document (such as DD-2214) - Veteran Only * Historical Only - Do Not Use - See Document Description for More Information - Addendum to the University of Utah - Veteran Only

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.

Senior Data Scientist - (Remote) Salary Range: $140,000 - $160,000 per year Employment Type: Full-Time About Us: We are an innovative software studio collaborating with internationally recognized brands to deliver cutting-edge data solutions. Our mission is to harness advanced analytics to drive impactful business strategies. We pride ourselves on our award-winning culture, emphasizing employee satisfaction, inclusivity, and professional development. Position Overview: We are seeking a Senior Data Scientist with expertise in Marketing Mix Modeling (MMM) to develop sophisticated econometric models that assess the impact of public relations (PR) messaging on financial outcomes. This fully remote role offers the flexibility to work from anywhere, providing an excellent opportunity for a skilled data scientist passionate about leveraging analytics to influence real-world business decisions. Key Responsibilities: Model Development & Implementation: Design and implement advanced econometric models to quantify the effects of PR campaigns on financial metrics. Integrate diverse datasets, including social media metrics, news articles, campaign messaging, and financial indicators, to enhance model accuracy. Collaborate with internal analytics teams to ensure robust data handling and model calibration. Data Analysis & Validation: Utilize historical PR and financial data to validate and refine predictive models. Conduct exploratory data analysis to uncover insights and improve model performance. Maintain rigorous methodological standards to ensure reproducibility and accuracy. Collaboration & Stakeholder Communication: Work cross-functionally with analytics, account management, and client-facing teams to gather requirements and implement solutions. Translate complex analytical insights into clear, actionable recommendations for both technical and non-technical stakeholders. Documentation & Training: Develop comprehensive technical documentation outlining methodologies, data sources, assumptions, and limitations. Create user-friendly guides to support the ongoing use and maintenance of models. Lead training sessions to facilitate knowledge transfer within internal teams. Continuous Improvement: Stay abreast of advancements in econometric modeling, machine learning, and marketing mix modeling techniques. Explore and implement process improvements, new data sources, and advanced modeling strategies to enhance scalability and predictive accuracy. Qualifications: Education & Experience: Master's or Ph.D. in Economics, Statistics, Data Science, or a related quantitative field (or equivalent professional experience). 3+ years of hands-on experience in econometrics, marketing mix modeling, or quantitative modeling. Technical Skills: Proficiency in Python (preferred) or R for data manipulation, statistical analysis, and model development. Experience with Bayesian modeling and relevant packages (e.g., PyMC, STAN, Pyro). Strong background in marketing analytics and marketing mix modeling (MMM); familiarity with tools such as Lightweight MMM, Meridian, or Robyn is a plus. Expertise in statistical modeling, regression techniques, time-series analysis, and causal inference. Experience with data visualization tools (e.g., matplotlib, seaborn). Soft Skills & Additional Qualifications: Exceptional communication skills-able to translate complex data insights into business impact. Proven ability to work in cross-functional environments and manage multiple projects effectively. Strong attention to detail, organizational skills, and commitment to delivering high-quality work. Experience in (or willingness to learn about) public relations, corporate communications, and financial metrics in a business context. Benefits: Fully Remote: Work from anywhere with flexible hours that fit your lifestyle. Award-Winning Culture: Be part of a company recognized for exceptional employee satisfaction, inclusivity, and professional development. Competitive Compensation: Generous salary, performance bonuses, and comprehensive benefits package. Professional Growth: Access to mentorship programs, certifications, and opportunities to advance your career. Cutting-Edge Tech: Work with state-of-the-art tools and technologies on impactful, high-visibility projects. Application Process: Interested candidates are invited to apply by submitting their resume and a cover letter detailing their relevant experience and interest in the position. Please include any pertinent project portfolios or case studies that showcase your expertise in data science and econometric modeling.

Join us for an exciting career with the leading provider of supplemental benefits! Our Promise Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. The Senior Data Scientist is responsible for leveraging their expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. This person will play a crucial role in helping organizations make data-driven decisions, solve challenging problems and drive data innovation. The Senior Data Scientist is responsible for leveraging their expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. This person will play a crucial role in helping organizations make data-driven decisions, solve challenging problems and drive data innovation. Competencies: Functional: Collaborate with colleagues in other departments to improve business outcomes Identify and mine reliable internal and external data sources Design custom tools to optimize data mining, cleaning, validation and analysis tasks Develop and apply custom data models and algorithms to data sets Develop tools and testing models to ensure data accuracy Create and present reports that detail your findings, recommendations and solutions Core: Data Acquisition and Preparation: Identifying relevant data sources, collecting, cleaning, processing, and transforming raw data into a usable format. This often involves dealing with both structured and unstructured data. Exploratory Data Analysis (EDA): Investigating datasets to uncover patterns, trends, relationships, and anomalies. This stage helps in formulating hypotheses and understanding the data's potential. Statistical Analysis and Modeling: Applying statistical methods and building mathematical models to analyze data, test hypotheses, and make predictions. This includes a strong understanding of statistical concepts, regressions, and probability. Machine Learning and Predictive Modeling: Developing, training, and deploying machine learning algorithms and predictive models to forecast outcomes, classify data, and automate processes. This involves selecting appropriate algorithms, feature engineering, and model evaluation. Data Mining and Pattern Recognition: Utilizing techniques to discover hidden patterns and insights within large datasets, which can be used for tasks like fraud detection or customer behavior prediction. Experimentation and Hypothesis Testing: Designing and conducting experiments (e.g., A/B testing) to validate hypotheses, measure the impact of changes, and optimize solutions. Data Visualization and Communication: Presenting complex findings and insights in a clear, concise, and engaging manner to both technical and non-technical stakeholders. This often involves creating reports, dashboards, and compelling visual representations of data. Behavioral: Collegiality: building strong relationships on company-wide, approachable, and helpful, ability to mentor and support team growth. Initiative: readiness to lead or take action to achieve goals. Communicative: ability to relay issues, concepts, and ideas to others easily orally and in writing. Member-focused: going above and beyond to make our members feel seen, valued, and appreciated. Detail-oriented and thorough: managing and completing details of assignments without too much oversight. Flexible and responsive: managing new demands, changes, and situations. Critical Thinking: effectively troubleshoot complex issues, problem solve and multi-task. Integrity & responsibility: acting with a clear sense of ownership for actions, decisions and to keep information confidential when required. Collaborative: ability to represent your own interests while being fair to those representing other or competing ideas in search of a workable solution for all parties. Minimum Qualifications: Bachelor's degree in computer science, Data Science, Math or related field. 7+ years' experience working in healthcare 12+ years' experience using Java, JavaScript, Python, R or SQL 10+ years' experience in a Data Science/Analytics role Demonstrated expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. Expertise in designing multi-cloud or hybrid data ecosystems. Experience with business intelligence and data analytics tools such as PowerBI Expertise with machine learning techniques, Expertise with statistical and data mining techniques Strong problem-solving skills Preferred Qualifications: Master's degree in data science, Computer Science, or related field. Expertise with AI-driven data architecture and advanced analytics solutions. Proficiency in cloud-native database management and DevOps practices. At Avēsis, we strive to design equitable, and competitive compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current pay ranges for new hires in each zone are: Zone A: $90,220.00-$150,360.00 Zone B: $98,330.00-$163,890.00 Zone C: $105,820.00-$176,360.00 FLSA Status: Salary/Exempt This role may also be eligible for benefits, bonuses, and commission. Please visit Avesis Pay Zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. We Offer Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way. Competitive compensation package. Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period. Life and disability insurance. A great 401(k) with company match. Tuition assistance, paid parental leave and backup family care. Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent. Flexible time off, dress code, and work location policies to balance your work and life in the ways that suit you best. Employee Resource Groups that advocate for inclusion and diversity in all that we do. Social responsibility in all aspects of our work. We volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability. How To Stay Safe Avēsis is aware of fraudulent activity by individuals falsely representing themselves as Avēsis recruiters. In some instances, these individuals may even contact applicants with a job offer letter, ask applicants to make purchases (i.e., a laptop or gift cards) from a designated vendor, have applicants fill out W-2 forms, or ask that applicants ship or send packages of goods to the company. Avēsis would never make such requests to applicants at any time throughout our job application process. We also would never ask applicants for personal information, such as passport numbers, bank account numbers, or social security numbers, during our process. Our recruitment process takes place by phone and via trusted business communication platform (i.e., Zoom, Webex, Microsoft Teams, etc.). Any emails from Avēsis recruiters will come from a verified email address ending in @ Avēsiscom. We urge all applicants to exercise caution. If something feels off about your interactions, we encourage you to suspend or cease communications. If you are unsure of the legitimacy of a communication you have received, please reach out to ********************. To learn more about protecting yourself from fraudulent activity, please refer to this article link (************************************************** If you believe you were a victim of fraudulent activity, please contact your local authorities or file a complaint (Link: ******************************* with the Federal Trade Commission. Avēsis is not responsible for any claims, losses, damages, or expenses resulting from unaffiliated individuals of the company or their fraudulent activity. Equal Employment Opportunity At Avēsis, We See You. We celebrate differences and are building a culture of inclusivity and diversity. We are proud to be an Equal Employment Opportunity employer that considers all qualified applicants and does not discriminate against any person based on ancestry, age, citizenship, color, creed, disability, familial status, gender, gender expression, gender identity, marital status, military or veteran status, national origin, race, religion, sexual orientation, or any other characteristic. At Avēsis, we believe that, to operate at the peak of excellence, our workforce needs to represent a rich mixture of diverse people, all focused on providing a world-class experience for our clients. We focus on recruiting, training and retaining those individuals that share similar goals. Come Dare to be Different at Avēsis, where We See You!

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.

A pioneer in K-12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states. For more information, visit amplify.com. We are seeking a Senior Data Scientist to join our Sales Analytics team, and champion data-driven decision making across our sales organization. This role will be leading the effort in analyzing sales trends, developing sales forecast models, and providing actionable insights to optimize revenue growth and strategic planning. This role will drive the system to create accurate short-term, medium-term, and long-term sales predictions across many product lines and geographic regions. The Senior Data Scientist will report to our Data Science manager and work with a highly cross functional scrum team of Analytics Engineers and Data Analysts to build state of the art data products. As such, they will be empowered to innovate and participate in important decisions across the entire data stack. Essential Responsibilities: Develop sales forecasting excellence by building statistical and machine learning models to solve forecasting needs across business domains. Contribute to self-service forecasting data tools to enable real-time decision-making. Own the end-to-end machine learning lifecycle, including scoping, feature engineering, model training and testing, deployment, monitoring, and explainability. Drive strategic business partnership by translating technical model outputs into business-aligned recommendations and decision frameworks with forecast explainability and driver decomposition. Act as a leader in the data science team by mentoring junior data scientists, leading technical design reviews and learning sessions, and influencing roadmap and standards across the data science team. Required Qualifications: 5+ years of experience in a data science role or a graduate degree in a science or other quantitative field (eg. Computer Science, Economics, Math, Physics, Statistics) with at least 3 years focused on sales forecasting or revenue analytics Expert knowledge of time series forecasting methods, e.g. ARIMA, Prophet, LSTM, etc. Expert user of either R or Python for data analysis tasks (data cleaning, manipulation, analysis). Expert user of SQL, especially its use in data analysis tasks. Expert in the training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost. Proven track record of development and implementing machine learning pipelines running in production environments like AWS Sagemaker, Databricks or Snowflake. Demonstrated application of software development methodology and protocols, including version control and testing. Excellent communication skills in writing and conversation, especially with non-technical partners. Experience driving self-directed projects and working cross-functionally. Preferred Qualifications: Experience working with Snowflake. Experience with container technologies, e.g. Docker and Kubernetes. Background in education or in edtech. What we offer: Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross salary range for this role is $110,000 - $150,000. This role is eligible to earn an annual discretionary bonus that rewards individual and company performance. Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status. Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com. . If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting. Amplify is an E-Verify participant.

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 How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox's AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you'll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written Identify what matters most and prioritize ruthlessly for the area you will own Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact Work with cross-functional teams (including 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 8+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction Proficiency in SQL, Python or other programming/scripting languages Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Ability to provide data insights and recommendations for 0→1 product even when sample size is small Strong verbal and written communication skills Preferred Qualifications Experience in startups or building 0→1 products Expertise in using data to inform AI/ML product development Background in SaaS product and growth analytics Compensation US Zone 1$187,000-$253,000 USDUS Zone 2$168,300-$227,700 USDUS Zone 3$149,600-$202,400 USD

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

Reporting to VP, Analytics & Data Science, the Senior Data Scientist, Product Analytics will provide critical insights to business partners and strategic support to the executive team. You'll have a significant impact on our product strategy with your high quality data/analyses, advanced analytics skills and attention to detail. You'll be the go to person for product performance, insights & strategy. The ideal candidate is highly motivated and has a track record of using their technical skills and business acumen to quickly make an impact! Job Description ABOUT THIS TEAM Analytics team is responsible for generating actionable insights & analyses for the business, AB testing, data driven decision making and supporting Product, Marketing & Finance teams to create significant impact for our users & business. We also work very closely with Business Intelligence, Data Engineering & Software Engineering teams to advance our data infrastructure. We have a cutting edge AB Testing program, automations and advanced data tools to deliver high quality analyses very efficiently. WHAT YOU'LL DO * Conduct in-depth analysis to uncover opportunities for improving our products. * Build advanced models & analytics tools to boost our product insights/recommendations. * Proactively come up with data driven insights/recommendations and communicate them clearly to the business stakeholders. * Analyze A/B tests to drive user conversion & engagement. * Develop dashboards to inform business decisions with an emphasis on automation and scalability. * Collaborate with Engineering to advance data infrastructure and governance. WHAT YOU'LL NEED * 7+ years' experience performing quantitative data analysis, preferably for an internet or technology company. * Ability to write complex SQL queries to drive critical business decisions. * Robust understanding of Statistics with ability to explain statistical concepts to non-technical audiences. * Bachelors or Masters' degree in Math, Engineering, Statistics or other quantitative field, with a track record of academic excellence. * Proven track record of handling multiple projects, meeting deadlines in a fast-paced environment and making a meaningful business impact. * Excellent communication skills. * Proficiency with Python/R. * Proficiency with BI tools such as Tableau, Looker, or equivalent. * Experience with Google Analytics, MixPanel or other front-end analytical platforms. WHAT'S GOOD TO HAVE * Experience with building machine learning/predictive models. Benefits Outstanding Compensation * Competitive salary * Bi-annual bonus * 401(k) plan with match * Equity in company * Flexible spending accounts (health, dependent care) * Internet and home office reimbursement 100% Full Health Benefits * Medical, dental, and vision (optional plans for your family) * Life & long-term disability insurance (optional) * Mental health support and resources * Wellness reimbursement (gym, health apps, etc.) * Pet Insurance (optional) Flexible Time Away * Flexible PTO * Sick time policy * Observed holidays Salary & Eligibility Starting pay range $135,000-$160,000 USD Pay Transparency Individual pay is based on location, transferable skills, experience, and other relevant factors. This estimated range is based on the best available market data and factors, all of which are subject to change. This position may also be eligible for a bonus and medical, dental, vision, life, short and long-term disability insurance, 401(k), paid time off, sick leave, and paid holidays, all subject to applicable plan terms. Eligible Hiring Locations This position is 100% remote, work from home. BOLD can hire full-time residents of the following U.S. States & Territories: Arizona, California, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin. California Residents: Please see our privacy notice for more info on how we handle your data. SELECT ONE: #LI-Remote About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate and Promote Diversity and Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don' discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.

Job Description Task Force Talent is seeking senior-level data scientists (multiple openings) for a very well-funded Series B company working on insider threat and supply chain security problems. We have an extremely good relationship with this client and work directly with the CTO, who has started several companies and had multiple successful exits, including an IPO. We have placed quite a few engineers at this firm over the last year, and everyone we have placed is extremely happy. (Even those who did not get an offer were left with very positive impressions.) Target salary range is 120k to 250k+ as well as equity; comp packages depend on experience level and location. (Note: At $170k base salary or above, generally candidates need 5+ years of experience and a very strong interview.) The company is profitable and growing fast with approximately 100+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT. The work environment is hybrid, typically 3 days/week in the office so people know each other, but those hours are flexible to accommodate family/childcare and traffic. The benefits are great and include: Company Equity Options and 401(k) Plan Unlimited PTO and Wellness Reimbursement U.S. Holidays Paid Parental Leave Comprehensive Insurance (Medical, Dental, and Vision) This company is completely private sector, no security clearance required. However, employment is open to U.S. citizens only at this time. If you apply but this company is not a fit, we will consider you for other available positions as well. Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: ***************************************** (Terms and conditions apply.) _______________________________________________________________________________________________________________________________________________ Qualifications U.S. Citizen Any scientific or engineering background with strong software skills and experience Comfortable and experienced with coding (Python, SQL, R, etc.), statistical models, and data challenges. Note: These data science positions have significant coding components. To be competitive in the technical interviews, candidate experience should extend beyond building dashboards. Experience creating and implementing methods for production processing environment Solid teamwork, time management, and collaboration skills 5+ years experience BONUS: Foreign language fluency, particularly languages associated with threat actors ______________________________________________________________________________________________________________________________________ Interview Process This company typically has a phone screen, followed by a take-home coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks. _____________________________________________________________________________________________________________________________________ About us: Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you! If you don't see the perfect fit, simply use our general application at: ****************************************************************************************

This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum. The Role The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. Has significant operational impact across their function. What You'll Do Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: Create breakthrough solutions, performing exploratory and targeted data analyses Undertake preprocessing of structured and unstructured data Monitor and sustain model effectiveness Present complex information using data visualization techniques Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing Identify long-term technical innovations while continuously improving execution efficiency Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. Your Skills & Abilities (Required Qualifications) Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression Prior experience with paid, earned, and owned media Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality What Can Give You a Competitive Advantage (Preferred Qualifications) Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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 Employer: United Services Automobile Association Tasks: Partner with other analysts across the organization to fully define business problems and research questions. Support SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrate and extract relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conduct advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Support Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Work with IT to research architecture for new products, services, and features. Develop algorithms and supporting code such that research efforts are based on the highest quality data. Translate complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. May telecommute. Requirements: Will accept a Bachelor's degree in Business Analytics, Computer Science, Applied Mathematics, Quantitative Economics, Statistics or related field followed by 6 years of progressive, post-baccalaureate experience in job offered or in a related occupation. Alternatively, will accept a Master's degree in Business Analytics, Computer Science, Applied Mathematics, Quantitative Economics, Statistics or related field and 4 years of experience in job offered or in a related occupation. Position requires: Developing models using Machine Learning techniques for Prediction, Classification and Segmentation: Regression with regularization; Tree based Ensemble (Bagging- Random Forest, Boosting- CatBoost, AdaBoost, and XGBoost); Gaussian Mixture models; K-means/ KNN; and Neural Network and Natural Language Processing (NLP) based models; End-to-end model development process from collaborating with cross-functional teams, collecting business requirements, data collection, model development, and validation and deployment; Developing statistical models and quantitative analysis; Coding languages & analytical tools for ML model development such as Python, PySpark and AWS Sagemaker, Google Cloud Platform, Microsoft Azure big data environments, and Git; Hadoop architecture; Snowflake, Hive, Oracle, IBM Netezza, and MySQL; Tableau and Power BI; Grasp of mathematics in calculus, linear algebra, probability, and statistics; Coding SQL queries; Translating product, business requirements into approach statements, project plans and communicating results of advanced analytic solutions; and Deploying Machine Learning, statistical models into production environments and monitoring the models in production. Worksite: 9800 Fredericksburg Road, San Antonio, TX 78288 Relocation assistance is Not Available for this position. This position is eligible for the Employee Referral Program. #DNP 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.

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.

Senior Data Scientist Hours: Monday - Friday, 8:00 am to 5:00 pm, 40 Hours/Week Responsibilities Support the GenAI Center of Excellence team, which drives innovation by building new generative AI applications and enhancing RealPage's existing systems with GenAI capabilities. Contribute to RealPage's AI go-to-market strategy, by creating cutting-edge solutions that empower our users and clients. Lead the development, deployment, and scaling of advanced AI models that address real-world challenges in the PropTech space. Fine-tune pre-trained foundation models, apply prompt-engineering and RAG techniques, utilize agentic frameworks, and work closely with product and engineering teams to create impactful AI solutions that support business objectives and transform user experiences. Evaluate and utilize appropriate generative models, such as GPT-4, LLaMA, Gemini, or Claude, to develop Gen AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics, and copilots. Assess and utilize AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and agentic frameworks based on project needs. Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions. Construct data preprocessing and cleansing pipelines, ensuring high-quality, scalable data suitable for training and testing AI models. Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes. Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness. Translate complex ML and Gen AI concepts into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes. Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts to create integrated GenAI solutions. Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvements. Qualifications The position requires a Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field and five (5) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation. Alternately, will accept a Master's degree in Computer Science, Machine Learning, Data Science, or a related field and three (3) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation. The position requires knowledge and experience with the following skills: Python and SQL Writing production-grade code Cloud platforms for AI, such as AWS SageMaker, GCP, AI, or Azure ML Containerization, such as Docker Orchestration, such as Kubernetes; CI/CD practices MLOps frameworks Experience leading projects and mentoring team members in Agile environments, driving collaboration, and fostering team effectiveness Machine Learning, Deep Learning, Natural Language Processing Transformers, Recurrent Neural Network (RNN) models, and Long Short-Term Memory (LSTM) models LangChain, LLMs, Vector Embeddings, and RAG applications Prompt Engineering Remote work permitted. Salary and Benefits: RealPage provides a competitive salary package along with a comprehensive benefit plan that includes: Health, dental, and vision insurance. Retirement savings plan with company match. Paid time off and holidays. Professional development opportunities. Performance-based bonus based on position. 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. Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees. #LI-DNI Pay Range USD $190,578.00 - USD $242,000.00 /Yr.