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• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment • Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation • Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches • Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates • Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous • Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams • Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership • Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor • Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community
• Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment • Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction • Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply • Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness • Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact • Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership • Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor • Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community
Role Description Develops actionable insights to help identify, understand, and resolve moderately complex business problems, leveraging big data and innovative problem-solving techniques to forecast future trends and outcomes based on past data patterns. Works individually, as well as with higher-level data scientists, designing experiments to solve problems with code and building predictive models and machine learning algorithms tailored to solve intricate business challenges. Develops an in-depth understanding of the business's needs and objectives, enabling the identification and formulation of pertinent questions that can be effectively addressed through data analysis. Essential Functions: - Applies deep learning algorithms and models for tasks such as image recognition, natural language processing, and other complex patterns. - Applies highly developed knowledge when applying advanced statistical methods to analyze complex datasets, uncovering nuanced insights and relationships. - Acts as a top-level specialist, optimizing machine learning models for efficiency, scalability, and improved performance in real-world applications. - Develops strategy for expertly selecting and engineering features to enhance model interpretability, accuracy, and generalization. - Designs and conducts A/B tests and experimentation to evaluate the impact of changes and interventions. - Leads cross-functional collaboration efforts, working closely with diverse teams to integrate data science solutions into business operations. - Develops algorithms that can scale to handle large datasets and complex computations, ensuring efficiency in processing. - Implements systems to deploy machine learning models into production environments, enabling their integration into operational systems. - Develops automated data pipelines for efficient data collection, processing, and integration, streamlining the end-to-end data science workflow. Qualifications - Minimum Bachelor's Degree required. Requirements - 0 - 2 years of experience required; 2 - 4 years preferred. Company Description Qlarant is a not-for-profit corporation that partners with public and private sectors to create high quality, safe, and efficient delivery of health care and human services programs. We have multiple lines of business including population health, utilization review, managed care organization quality review, and quality assurance for programs serving individuals with developmental disabilities. Qlarant is also a national leader in fighting fraud, waste and abuse for large organizations across the country. In addition, our Foundation provides grant opportunities to those with programs for underserved communities.
Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
ABOUT THIS POSITION The Data Science focus specializes in extracting insights and solving complex problems using advanced statistical analysis, machine learning, and predictive modeling. Collects, cleans and analyses large datasets to uncover patterns and make data-driven decisions. Responsibilities include developing algorithms, building predictive models, and communicating findings through data visualization. This role often requires a PhD in a statistics field. This job family is in the professional level category and works independently with flexibility and authority over daily work priorities. Incumbents in this job level category may provide work direction to other employees but would not typically have the authority to discipline or reward other employees. There are different levels available that provide clarity on contribution expectations based on knowledge, application, problem solving, and collaboration. WHAT YOU'LL DO * Clean, transform, and analyze large, complex datasets to identify trends, patterns, and insights relevant to business objectives. * Assist in the development and implementation of statistical models, machine learning algorithms, and predictive analytics solutions. * Prepare and present findings and recommendations to technical and non-technical stakeholders in a clear and concise manner. * Collaborate with engineering, product, and business teams to understand data needs and translate them into actionable data science initiatives. * Develop and maintain data visualizations and dashboards to monitor key performance indicators and track model performance. * Participate in code reviews and contribute to maintaining high-quality, well-documented data science code. * Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. * Support data governance and data quality initiatives. WHAT YOU'LL NEED * Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Master's degree preferred. * 1-3 years of professional experience in a data science, data analysis, or analytical role. * Proficiency in Python or R for data analysis and statistical modeling. * Strong understanding of statistical concepts, hypothesis testing, and experimental design. * Experience with SQL for data extraction and manipulation. * Familiarity with machine learning algorithms (e.g., regression, classification, clustering) and their applications. * Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). * Excellent problem-solving skills and a strong analytical mindset. * Ability to communicate complex data findings effectively to diverse audiences. * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark) is a plus. ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter. WAYSTAR PERKS - Competitive total rewards (base salary + bonus, if applicable) - Customizable benefits package (3 medical plans with Health Saving Account company match) - We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays - Paid parental leave (including maternity + paternity leave) - Education assistance opportunities and free LinkedIn Learning access - Free mental health and family planning programs, including adoption assistance and fertility support - 401(K) program with company match - Pet insurance - Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
To empower the heroes and scale-ups that grow the economy
• Definir visão, arquitetura e estratégia técnica para IA generativa; • Desenvolver soluções com agentes autônomos, copilotos inteligentes e assistentes personalizados; • Atuar como referência técnica para o time de ciência de dados, apoiando no desenvolvimento técnico e adoção de boas práticas; • Propor e implementar padrões de engenharia de software e ciência de dados, como versionamento, reprodutibilidade e documentação; • Colaborar com times de engenharia, produto e dados para garantir integrações eficientes e uso sustentável da infraestrutura de dados.
Role Description We are looking for a Senior Data Scientist with strong machine learning expertise and a hands-on mindset to lead our data initiatives. This individual should be a self-starter who can proactively explore our data, identify impactful opportunities, and drive solutions independently. The ideal candidate will not just execute on business requests but will also shape our data strategy by telling us what we should be doing with the data we have. Key Responsibilities - Take full ownership of the data science and ML stack from the ground up, including tooling and infrastructure decisions. - Proactively analyze available data to identify business opportunities and recommend ML/AI strategies accordingly. - Drive the complete ML lifecycle: problem definition, data exploration, feature engineering, model development, deployment, and monitoring. - Deliver hands-on ML solutions across various domains (e.g., forecasting, churn prediction, optimization). - Communicate actionable insights and recommendations to both technical and non-technical stakeholders. - Partner with leadership and cross-functional teams to prioritize high-impact data initiatives. - Stay current with advancements in ML/AI and continuously bring innovation into our workflows. Qualifications - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. - 5+ years of hands-on experience building and deploying data science and machine learning models. - Proven ability to work independently and drive projects from idea to impact. - Expert in Python and SQL; strong experience with libraries like pandas, scikit-learn, and ML frameworks. - Familiarity with modern BI tools (Power BI, Tableau, etc.). - Deep understanding of ML and statistical methods: regression, classification, forecasting, optimization, A/B testing. - Experience with cloud platforms (AWS, Azure, or GCP). - Excellent communication and collaboration skills, with the ability to influence stakeholders. Requirements - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. - 5+ years of hands-on experience building and deploying data science and machine learning models. Benefits - Incentive Bonus Plans - Medical, Dental, Vision benefits - 401K with Company Match - 10 Paid Holidays - Generous Paid Time Off Packages - Employee Stock Purchase Plan - Paid Parental & Family Leave - and more!
Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment.
Role Description The Sr Medical Scientist - HIV will work with the Medical Director to develop medical plans and engage with outside experts to coordinate necessary medical/scientific input. Responsibilities include: - Developing medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). - Performing regular and ad-hoc medical review of data listings and data visualization as needed. - Analyzing data to identify risks and data patterns/trends; supporting documentation of medical reviews. - Pro-actively identifying and resolving medical data review issues as they arise. - Authoring medical data queries and reviewing query responses; approving query closure in association with Medical Director. - Assisting Medical Director in patient profiles review and scientific review of other study level data. - Partnering with Medical Directors for medical data review meetings and safety review meetings. - Managing project scope of work, objectives, and quality of deliverables to ensure project milestones and timelines are met. - Serving as primary interface between internal team, customers, and vendors in medical data review and eligibility review. - Collaborating with study team members to identify risks related to data integrity and subject safety. - Escalating ongoing and newly developed study concerns to project leads in a timely manner. - Attending and presenting at Trusted Process meetings and participating in internal and external audits. - Acquiring basic understanding of ongoing protocol designs and disease-related terminology and pathology. - Adhering to all data privacy guidelines, ICH, GCPs, and enterprise policies. Qualifications - Degree in life sciences (Bachelors) or related discipline in natural sciences/health care field. - 2-3 years of clinical research experience. - Excellent time management skills to handle multiple tasks and meet deadlines. - Self-starter comfortable with fluctuating timelines and work demands. - Ability to troubleshoot situations and escalate issues to leadership when necessary. - Understanding of scientific principles for effective medical data analysis. - Excellent written and oral communication skills. - Excellent computer skills: MS Office programs, spreadsheets, presentations. - Knowledge of drug development and proficiency with ICH/GCP guidelines. - Strong team player with excellent interpersonal skills. Requirements - Degree in life sciences or related discipline. - 2-3 years of clinical research experience. - Excellent time management and organizational skills. - Ability to work in a highly regulated and dynamic environment. - Strong communication and interpersonal skills. Benefits - Company car or car allowance. - Health benefits including Medical, Dental, and Vision. - Company match 401k. - Eligibility to participate in Employee Stock Purchase Plan. - Eligibility to earn commissions/bonus based on performance. - Flexible paid time off (PTO) and sick time. Salary Range $79,800.00 - $139,600.00. Actual salary will vary based on qualifications, skills, competencies, and proficiency for the role.
Role Description The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies, and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. This role requires proficiency in one or more data science specializations, such as optimization, computer vision, recommendation, search, or NLP. As a Sr. Data Scientist, you will: - Serve as a lead on data science projects, collaborating with project/product managers. - Provide prioritization of tasks, balance workload, and mentor data scientists on the project team. - Present insights and recommendations to leaders and business partners. - Support the building of skilled and talented data science teams. - Collaborate with business partners and cross-functional teams. Qualifications - PhD in a quantitative field (Computer Science, Math, Statistics, etc.) - 6+ years of experience in business intelligence and analytics - Working knowledge of Microsoft Excel and Power Point - Proficient in a modern scripting language (preferably Python) - Proficient running queries against data (preferably with Google BigQuery or SQL) - Proficient with data visualization software (preferably Tableau) - Mastery utilizing statistical techniques to identify key insights that help solve business problems - Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search, or NLP - Demonstrated proficiency in predictive modeling, data mining, and data analysis Requirements - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. - The knowledge, skills, and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. - Minimum of 5 years of work experience. Benefits - Typically requires overnight travel less than 10% of the time. - Most of the time is spent sitting in a comfortable position with frequent opportunities to move about. - Located in a comfortable indoor area; any unpleasant conditions would be infrequent and not objectionable. Competencies - Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs. - Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals. - Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. - Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. - Cultivates Innovation: Creating new and better ways for the organization to be successful. - Customer Focus: Building strong customer relationships and delivering customer-centric solutions. - Develops Talent: Developing people to meet both their career goals and the organization's goals. - Directs Work: Provides direction, delegating and removing obstacles to get work done. - Drives Results: Consistently achieving results, even under tough circumstances. - Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder. - Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement. - Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels. Salary Information For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $100,000.00 - $190,000.00.
Role Description We are looking for a Food Scientist with deep RTD beverage formulation experience to join our Product Development team. This is not a generalist food science role. We need someone who has personally developed and launched canned or liquid beverage products through a co-manufacturer to retail shelf — and who understands the distinct science, validation requirements, and quality standards that liquid beverage formats demand. You will own RTD formulation for RYZE from the ground up: - Formula development - Co-manufacturing qualification - Sensory validation at commercial scale - Cross-functional alignment with Regulatory and Quality on claims, specs, and compliance You will also contribute to our powdered instant lineup as a technical resource on formulation science across formats. This role reports directly to the Senior Manager of New Product Development and will work closely with Regulatory, Quality, Ops, and the Lab Team in Santa Ana. What You'll Own - RTD Platform Development - Lead formula development for RYZE's 2027 RTD mushroom coffee launch — from concept through co-manufacturing qualification and commercial production - Own formulation science for liquid beverage formats: emulsification, pH buffering, pasteurization kill steps, headspace management, and ambient vs. cold chain stability - Assist with the RTD co-manufacturing qualification process — technical evaluation, formula alignment, fill-line troubleshooting, and QC standards - Support ingredient sourcing for RTD-specific inputs in partnership with Supply Chain - Validation and Quality Standards - Design and implement formal ingredient validation protocols for both RTD and powdered formats — including backup supplier qualification checklists that meet retail audit standards - Partner with Quality and Sensory to build written sensory specifications for all retail-bound SKUs, creating objective pass/fail gates that can be used without your direct involvement - Support third-party lab testing programs — defining what gets tested, interpreting results, and working with Regulatory and Quality on action thresholds - Contribute to formula change review triggers — helping define when a formula adjustment requires regulatory review before it ships - Cross-Functional Collaboration - Work with Regulatory to ensure active ingredient dosage levels in RTD and powdered formulas are aligned with claim substantiation requirements before formulation work begins - Partner with Marketing and the founders during brief development to ensure ingredient levels and format decisions are commercially viable and scientifically sound - Contribute to RYZE's stage-gate process — building the technical documentation that allows projects to advance through gates with confidence - Support backup ingredient reformulation decisions with science-backed validation data, working cross-functionally with Quality and Regulatory before product ships Qualifications - Minimum 3–7 years of experience in beverage formulation - Proven track record of personally developing and launching a canned or liquid beverage product through a co-manufacturer to retail shelf — not advisory, not supporting — you owned it - Deep technical knowledge of liquid beverage chemistry - Hands-on co-manufacturing experience — you have been on the floor during production runs, troubleshot fill-line issues, and built QC alignment with external manufacturing partners - Experience developing sensory specifications and validation protocols that hold up at commercial production volume - Bachelor's degree or higher in Food Science, Food Technology, Chemistry, or a related field Requirements - Experience with functional ingredients — adaptogens, mushroom extracts, nootropics, botanical ingredients — and the formulation challenges they create in liquid matrices - Background at a better-for-you, functional, or natural beverage brand that has successfully scaled through Target, Whole Foods, Kroger, or Costco - Familiarity with structure/function claim requirements and the regulatory considerations that affect active ingredient dosage levels in functional beverages - Experience working in a cross-functional environment where NPD, Quality, and Regulatory have defined decision rights — and comfort building those structures in a scaling organization - Experience with powdered instant beverage formats is a plus, but secondary to RTD expertise Who You Are - You are energized by building things that don't exist yet — including the systems and processes around them, not just the formulas - You have strong opinions about quality standards and the patience to document them so they outlive any individual on the team - You are comfortable operating at the intersection of science, regulatory requirements, and commercial constraints — and you know how to say 'this needs more rigor' without slowing everything down - You thrive in a fast-moving environment but know which decisions require deliberate process and which ones can move quickly - You can successfully work independently and with cross-functional teams to get new products across the finish line
Micron Technology specializes in memory and semiconductor technology, such as computer memory and image sensors. Since opening, Micron Technology has had a successful history and i
Role Description Analyze and interpret large datasets to identify trends and insights that support business decisions. - Build and validate time series forecasting and statistical models to improve business planning accuracy. - Develop data pipelines and analytical workflows from data collection to visualization using SQL, Python, and cloud-based tools. - Collaborate with cross-functional teams to translate business requirements into data-driven solutions. - Support automation and optimization initiatives by applying machine learning and advanced analytics techniques. - Present analytical findings and model results to stakeholders in a clear and actionable manner. - May telecommute. Qualifications - Master’s degree in Computer Science, Data Science, Statistics, Operations Research, Information Systems or related field. - 2 years of experience in the job offered or related occupation. Requirements - Statistical methods, data modeling, and time series forecasting. - Python and SQL for data extraction and analysis. - Data visualization and reporting tools: Power BI, Tableau, or Excel. - Data processing and automation techniques. - Data Platforms & Warehouses: SQL Server, MySQL, Oracle, or Snowflake. Benefits - Choice of medical, dental, and vision plans in all locations. - Benefit programs that help protect your income if unable to work due to illness or injury. - Paid family leave. - Robust paid time-off program and paid holidays.
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Python, SQL, AI/ML, Tableau, Pandas, Power BI
