Role Description The Lead Data Scientist will report to the Data Science Manager. As the Lead Data Scientist, you will: - Build and own end-to-end pricing systems—from experimentation to production—that directly shape revenue and unit economics. - Lead high-impact pricing experiments and apply advanced methods to uncover what truly drives conversion, retention, and profitability. - Act as a go-to expert in pricing and demand modeling, influencing strategy across Product, Risk, Finance, and Marketing. - Drive cross-functional initiatives from idea to launch, partnering closely with engineering to deliver scalable, real-world solutions. - Turn complex analyses into clear, compelling insights that guide leadership decisions. - Mentor teammates and help raise the bar on experimentation, modeling, and technical rigor. Qualifications - 6+ years of experience in data science, pricing, or quantitative modeling (or an advanced degree with relevant experience). - Strong fluency in Python/R and SQL. - Experience building and shipping pricing or demand models that drive real business impact. - Deep expertise in pricing optimization, elasticity, and econometrics. - Ability to apply causal inference and experimentation in real-world settings. - Thrive in cross-functional environments, influencing partners and translating complex work into clear, actionable insights. - Enjoy mentoring others and raising the bar for how teams approach modeling, experimentation, and decision-making. Requirements - Experience in fintech, lending, or financial services with ownership of pricing models. - Familiarity with financial metrics, risk-adjusted returns, and capital markets. - Experience working with cloud platforms and modern data tools (e.g., AWS, DBT, Airflow, Looker). - Exposure to LLMs or NLP applied to pricing or financial use cases. Benefits - Health, Dental, & Vision benefits plus savings plans. - Mac computers + work-from-home stipend to set up your home office. - Monthly internet and phone reimbursement. - Employee Stock Purchase Plan. - Restricted Stock Units (RSUs). - 401(k) plan to help you save for retirement plus a company match. - Robust tuition reimbursement program. - $1,000 travel perk on each Earnie-versary to anywhere in the world. - Competitive days of annual PTO. - Competitive parental leave.

Role Description We are seeking a Data Scientist to join our team supporting the implementation of secure software solutions across the VA enterprise cloud environment. As a Data Scientist you will utilize expertise in discovering and analyzing complex data sets and data sources to derive actionable insights using statistical methods, machine learning and data visualization tools. You will also perform management and merging of disparate data sources, preferably through R, Python, or SQL. - Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis - Utilize scientific techniques to correlate data into graphical, written, visual and verbal narrative products to inform high quality analytic decisions - Proactively retrieve data from various sources and analyze data for better understanding - Build and utilize Artificial Intelligence (AI)/ Machine Learning (ML) tools to automate processes for efficiencies - Build high quality prediction systems - Utilize data visualization and graphical applications, to include Microsoft Office (Power BI) and Tableau - Utilize major data science languages, such as R and Python - Perform statistical analysis, and data mining algorithms Qualifications - Bachelor’s degree in a relevant field, such as Data Science, with a minimum of 10 years of work experience - Experience in data visualization and use of graphical applications, including Microsoft Office Power BI and Tableau - Experienced in major data science languages, such as R and Python - Experienced in managing and merging disparate data sources, preferably through R, Python, or SQL - Experienced in statistical analysis and developing data mining algorithms - Experienced with large data multi-INT analytics, ML, and automated predictive analytics - Experienced in algorithm development, data structures, and software development practices - Working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production - Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions - Ability to work collaboratively with users and stakeholders - Capacity to adapt to changing situations to prioritize tasks effectively - Excellent communication, analytical, and problem-solving skills Requirements - Must have reliable internet service that allows for effective telecommuting - Standard business hours are Monday through Friday. Occasional extended or weekend hours may be required based on operational needs Benefits - Medical, Dental, and Vision - Health Saving Account (when enrolled in eligible plan) with Company contribution - Company paid Life, Accidental Death, Short-term & Long-term Disability - Voluntary Accident, Hospital Indemnity, & Critical Care Insurance - Voluntary Medical & Dependent Care Flexible Spending Accounts - Accrued Paid Time Off & Company Paid Holidays - 401(k) Retirement Plan with Company match

Role Description This is a high-impact, hands-on programming position operating at Associate Director level, working closely with senior leadership to support critical business needs. Key Responsibilities - Act as a key internal technical resource across statistical programming activities - Deliver high-quality dashboards and visualizations using SAS, R Shiny and/or Python - Partner directly with executive leadership (C-suite) to support internal reporting needs - Respond to ad hoc requests from health authorities - Contribute to a growing Biometrics function within a small biotech environment Qualifications - Strong hands-on experience with SAS in clinical trials - Experience using R and/or Python - Proven ability to deliver high-quality outputs in a fast-paced environment - Experience supporting ad hoc regulatory requests - Background within a sponsor, CRO or academic setting - Ability to work independently while engaging with senior stakeholders

• Creation, maintenance, and quality assurance of product and master data across PIM, ERP, and shop systems • Ownership of data imports and exports for Akeneo and Microsoft Dynamics 365 Business Central • Ensuring data consistency and integrity across all connected systems • Supporting new product launches, assortments, and market expansions • Close collaboration with Procurement, Product Development, E‑Commerce, IT, and Logistics teams • Analysis and resolution of data inconsistencies