• Focus on understanding existing models, assessing their performance, selecting optimal architectures, and fine-tuning them to meet specific domain and business needs—including retrieval-augmented generation (RAG) based applications. • Collaborate closely with data engineering, product, and domain teams to translate real-world research challenges into scalable, model-driven solutions that accelerate Advarra’s vision of a digitally connected research data and technology fabric. • Optimize and fine-tune large language models (LLMs) and domain-specific variants using proprietary datasets to achieve precision and recall targets that drive differentiated customer value. • Evaluate model performance across key metrics and benchmarks, identifying strengths, weaknesses, and opportunities for improvement across predictive, generative, and retrieval-augmented tasks. • Implement and operationalize LLM-based and retrieval-augmented (RAG) systems that enhance Braid-powered products such as Study Design and Site Feasibility. • Collaborate with data engineering to ensure scalable, efficient model training, evaluation, and deployment pipelines using Databricks, MLflow, and Delta Lake. • Assess and select models—open-source or proprietary—that best align with domain-specific requirements and Advarra’s regulated research environment. • Partner with clinical and operational experts to translate research and trial challenges into measurable model evaluation frameworks and optimization strategies. • Conduct model interpretability and bias analyses to ensure fairness, transparency, and compliance with governance standards. • Document methodologies and validation results to support internal governance, reproducibility, and audit readiness. • Contribute to reusable fine-tuning workflows, evaluation frameworks, and model monitoring pipelines within the Braid AI stack. • Stay at the forefront of advancements in LLM optimization, retrieval augmentation, and multi-modal learning, applying new methods that improve scalability, explainability, and cost efficiency

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description itD is seeking a Data Scientist V to drive data-driven improvements to machine learning ranking models that power content discovery and engagement. In this role, you will analyze large-scale datasets, develop predictive models, and generate insights that influence product features and user experiences across a major social media platform. The ideal candidate will bring deep experience in data science, statistical analysis, and machine learning, along with a track record of delivering predictive models, product experiment insights, and large-scale data analysis that improves recommendation systems and user engagement. Location: Remote within the United States. (Note: Contractors may be required to transition onsite if offices fully reopen.) We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities - Analyze large-scale datasets to identify patterns, trends, and opportunities for improving ranking and recommendation models. - Develop predictive models and machine learning algorithms that enhance content recommendations and engagement signals. - Leverage computer vision techniques and feature extraction methods to evaluate image-based content and determine shareability signals. - Design and analyze product experiments, generating hypotheses and interpreting results to inform product improvements. - Collaborate with product engineers and cross-functional teams to translate analytical prototypes into scalable product features. - Investigate metric movements and performance trends for key recommendation and sharing products. - Create dashboards, visualizations, and leadership reports to communicate insights, experiment outcomes, and product performance. Internal Responsibilities - Attend regular internal practice community meetings. - Collaborate with your itD practice team on industry thought leadership. - Complete client case studies and learning material (blogs, media material). - Build out material to contribute to the Digital Transformation practice. - Attend internal itD networking events (in person and virtual). - Work with leadership on career fast-track opportunities. Qualifications - 10+ years of experience as a Data Scientist, including experience working with machine learning models. - Advanced proficiency in SQL and Python for large-scale data analysis and modeling. - Experience working with large datasets and performing exploratory data analysis. - Hands-on experience building machine learning models using frameworks such as PyTorch or TensorFlow. - Experience training or applying computer vision models. - Experience collaborating with cross-functional teams, including engineers and product stakeholders. Preferred Qualifications and Skills - PhD in a quantitative or technical discipline. - Experience working in social media or large-scale consumer technology platforms. - Experience developing predictive models for recommendation or ranking systems. - Strong background in product experimentation and A/B testing analysis. Education - Master’s degree in Mathematics, Statistics, Computer Science, or a related technical field, or equivalent practical experience required. - PhD preferred. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information. Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!

RDQ427R169 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest levels of leadership — translating the full power of data science into clear, actionable narratives for our CEO, C-suite, and Board of Directors. Our vision is simple: data drives every Databricks decision and action. To get there, we need a world-class statistician and communicator — someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage. Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide — including over half of the Fortune 500 — relying on Databricks, and a team of 7,000+ employees, we are at the forefront of the data and AI revolution. We have been recognized as a leader by Gartner, Forrester, and IDC, and have raised more than $4 billion in funding at a $62 billion valuation. The Impact You Will Have - Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors — ensuring data science insights directly inform the company's most critical decisions. - Statistical authority. Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems. - Org-wide uplevel. Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story. - Strategic insights. Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning — the kind of synthesized, judgment-rich insight that AI cannot autonomously create. - Cross-functional influence. Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made. - External thought leadership. Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world-class talent. - Methodology and standards. Define and evolve company-wide scientific methodologies — experimentation frameworks, forecasting systems, causal inference approaches — to match and push industry state-of-the-art. What We Look For Required - 15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia. - Proven track record of presenting statistical and data science concepts to C-suite and Board-level audiences, with measurable impact on executive decision-making. - Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning. - Exceptional written and verbal communication — the ability to make complex statistical concepts intuitive and compelling for non-technical executives. - Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org-wide output quality. - Experience at the intersection of statistics and large-scale technology or data platforms. - Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field. Preferred - Academic research or teaching background in statistics or a quantitative field. - Industry experience at multiple tier-1 technology companies. - Published research or recognized thought leadership in applied statistics. - Experience building or leading a "Chief Statistician" or equivalent function. - Experience in infrastructure, platform, or systems-oriented data science. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Swish Analytics is looking for a Product Scientist to join our ever-growing team! Science is at the core of our business, and our Research & Experimentation branch works to create enhancements for future generation products, scale internal tools as our team and customers continue to grow, and set the stage for making big bets on new products and features. This is a great opportunity to work with thought leaders in the Sports Data space to create new and transformative products. - Expand utilization and adoption of existing models and accelerate adoption of commonly used proprietary frameworks. - Establish and refine KPI's and OKR's for scaling and accelerating the product offerings. - Experience applying large scale data processing techniques to develop scalable and innovative sports betting products. - Proactively improve our Rust codebase. - Source origins of data inaccuracies through data pipeline dependencies and Python code base. - Use extensive experience to build, test, debug, and deploy production-grade components. - Keep up to date with new approaches to inferential statistics, sampling, and experimental design. - Examine the integration and scaling of our real world operations, simulations, experiments, and demonstrations. - Expert Python developer using many different machine learning and data science frameworks. - Provide risk management guidance on methods for assessing and mitigating risk. - Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists. - Adhere to software engineering best practices and contribute to shared code repositories. Qualifications - Bachelor degree in Computer Science, Applied Math, Data Analytics, Data Science or related technical subject area; Master degree highly preferred. - 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical products to serve business needs. - Knowledge in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods. - Advanced Python & SQL. - Experience with source control tools such as GitHub and related CI/CD processes. - Experience working in AWS environments. - Proven track record of strong leadership skills; Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions. - Excellent communication skills to both technical and non-technical audiences. Requirements - Base salary: Starting at $150,000 base. Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.