• Develop, validate, and maintain predictive models including lead scoring, conversion propensity, and funnel optimization. • Develop tiering models to prioritize leads by conversion probability. • Build forecasting frameworks for lead volume, conversion rates, and pipeline or revenue projections. • Build channel performance models to optimize budget allocation across paid search, email, ISO partners, etc. • Monitor model performance and iterate to improve accuracy and business impact. • Develop models to evaluate and prioritize markets based on expected performance and ROI. • Analyze geographic, industry, and segment-level trends to identify growth opportunities. • Support data-driven recommendations on market targeting and resource allocation. • Support campaigns/future product launches by forecasting lead volume, conversion rates, and CAC by channel. • Design and analyze experiments (A/B testing, cohort analysis) and evaluate incremental impact. • Apply statistical and machine learning techniques to solve marketing and business problems. • Conduct deep-dive analyses to support strategic and operational decisions. • Contribute to internal data science and modeling initiatives, including proprietary or internal IP work. • Collaborate with Data Engineering to structure and prepare datasets for modeling. • Partner with BI and analytics teams to ensure model outputs are integrated into reporting and usable by stakeholders.

Role Description This role is responsible for developing predictive models and forecasting frameworks that support marketing performance, customer acquisition, and market targeting, while also contributing to broader internal data science initiatives. The position combines hands-on statistical modeling and machine learning with applied business problem-solving to drive more effective, data-driven decision-making. The role will work closely with BI and analytics partners to ensure alignment between predictive outputs and reporting, helping translate model results (e.g., lead scoring, conversion propensity, and forecasting) into actionable insights. In parallel, this individual will support internal data science and modeling efforts, contributing to the development of proprietary analytics capabilities. The role is expected to initially focus on marketing-related modeling and progressively expand into deeper data science work over time. This position requires a solution-oriented mindset — someone who takes ownership, challenges assumptions, and actively improves processes rather than simply executing tasks. This role is designated at the Analyst level. Key Responsibilities - Develop, validate, and maintain predictive models including lead scoring, conversion propensity, and funnel optimization - Develop tiering models to prioritize leads by conversion probability - Build forecasting frameworks for lead volume, conversion rates, and pipeline or revenue projections - Build channel performance models to optimize budget allocation across paid search, email, ISO partners, etc. - Monitor model performance and iterate to improve accuracy and business impact - Develop models to evaluate and prioritize markets based on expected performance and ROI - Analyze geographic, industry, and segment-level trends to identify growth opportunities - Support data-driven recommendations on market targeting and resource allocation - Support campaigns/future product launches by forecasting lead volume, conversion rates, and CAC by channel - Design and analyze experiments (A/B testing, cohort analysis) and evaluate incremental impact - Apply statistical and machine learning techniques to solve marketing and business problems - Conduct deep-dive analyses to support strategic and operational decisions - Contribute to internal data science and modeling initiatives, including proprietary or internal IP work - Collaborate with Data Engineering to structure and prepare datasets for modeling - Partner with BI and analytics teams to ensure model outputs are integrated into reporting and usable by stakeholders Qualifications - Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or related field Requirements - 3 to 7 years of experience in data science, applied modeling, or advanced analytics - Proven experience building and validating predictive models in a business environment - Experience with statistical methods, machine learning techniques, and forecasting approaches - Strong problem-solving skills and ability to translate business problems into analytical solutions - Ability to communicate complex analytical concepts to non-technical stakeholders - Experience with customer acquisition cost modeling and marketing ROI analysis Key Soft Skills - Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders - Collaboration: works effectively across engineering, analytics, and business teams Technical Skills - Strong proficiency in Python and SQL Benefits - USD Base Salary - Enjoy Paid Time Off (PTO) after just 6 months of service - Full-time opportunity - Enjoy the freedom of a completely remote work environment!

Role Description The Predictive Index is looking for a Data Scientist to own the evidence behind a new PI venture from day one. You’ll be working on a lean, fast-moving team chartered to explore, validate, and build a new market. - Turn product and customer signal into evidence for what drives client outcomes. - Correlate product signals that drive successful client outcomes — identify what actually moves the needle. - Build the instrumentation, dashboards, and analytics pipelines the team runs on. - Run experiments — A/B, cohort, funnel — to validate or kill hypotheses quickly. - Apply feedback loops that turn raw product and customer signal into defensible, differentiated product value. - Partner with Product, GTM, and Behavioral Science to make every major decision insight-driven. Qualifications - A graduate degree (or equivalent applied experience) in Statistics, Data Science, Computer Science, Econometrics, Quantitative Psychology, or a closely related quantitative field. - Deep hands-on experience building product analytics from scratch. - A demonstrated track record running product experiments — A/B tests, cohort analyses, funnel diagnostics. - Fluency translating ambiguous business questions into tractable data problems. - Comfort working at the frontier, where the research agenda, the product roadmap, and the go-to-market strategy are still being written. - Passion for using AI in every aspect of your work. - A builder’s mindset. Requirements - SQL is second nature; ability to get into the code. - Experience standing up instrumentation, pipelines, and dashboards in a live product environment. - Statistical rigor to know when a result is real and when it isn’t. Benefits - Exempt, salaried position ($120,000 - $140,000). - Full access to PI’s benefits package, including unlimited PTO and 401(k). - Flexibility to work at our Westwood, MA headquarters, remotely, or a mix of both. Company Description The Predictive Index is an award-winning best place to work, with a mission of “Better work, Better world.” We celebrate our diverse backgrounds and perspectives, knowing they are fundamental to our success. - More than 10,000 companies trust PI to help them hire top talent. - We empower our clients to solve their biggest challenges. - Encouragement for people from underrepresented backgrounds to apply.

At **Mindera**, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a **Senior** **Data Scientist** to join an agile, collaborative team where your voice matters as much as your code. The **Data Scientist** is a high-level individual contributor who leads complex data science initiatives that impact the Core Tech roadmap. This role focuses on translating complex marketing and product challenges into data-driven recommendations. Working with significant independence, the **Senior Data Scientist** develops predictive models and performance reporting frameworks that enable stakeholders across the organization to make informed investment decisions. We value **empathy, self-organization, and the courage to take risks.** If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here. We’re looking for someone who loves to build, learn, and guide others. You’ll be working closely with our leadership (CEO/COO) and our clients, so clear communication and a collaborative spirit are key. **💪 How You'll Contribute** - **Business Insight & Problem Definition:** Partner closely with marketing and product teams to diagnose business challenges and define appropriate data metrics, analyses, and interpretations to drive strategic decisions. - **Statistical Modeling:** Define requirements for and lead the creation, monitoring, and iterative improvement of key statistical models used for marketing spend optimization and product growth. - **Narrative & Visualization:** Design clear, unambiguous narratives and data visualizations to communicate model outputs and analysis results to broad, non-technical audiences. - **Rapid Prototyping:** Independently prototype and test new insights, moving from hypothesis to rigorous validation with minimal mentorship. - **Technical Consultation:** Reason effectively about the strengths and weaknesses of different modeling approaches, selecting and iterating on combinations that suit specific marketing contexts.