Mid Level Data Scientist Jobs
Mid level data scientist jobs go to analysts ready to own pipelines end to end, translate findings into decisions, and guide junior teammates with limited oversight. Openings are spread across on-site, remote, and hybrid settings in Technology & Software, Retail, and Electronics & Hardware, with Apple, JPMorganChase, and Whatnot hiring at this level now.
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About Plaud Inc.
Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity. Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection. To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube.
About The Role
We’re looking for a Data Scientist to partner closely with Product Management on an upcoming product initiative. This is a hands-on role designed for someone who can identify the right problems to solve, execute rigorous analysis end-to-end, and translate insights into clear product decisions. You will operate in an early-stage product environment where ambiguity is high, metrics are evolving, and early decisions have an outsized impact on product adoption, active usage, and future monetization opportunities.
What You Will Do
- Own the Growth & Commercial Architecture: Architect and define key commercial metrics, funnels, and leading indicators across user acquisition, activation, conversion, retention, and revenue performance.
- Drive Monetization & Pricing Strategy: Partner with leadership to support subscription monetization, packaging, and pricing decisions by building structured evaluation frameworks and clear, data-backed recommendations.
- Lead Growth & Marketing Experimentation: Design, execute, and validate marketing campaigns, growth initiatives, and product-led growth (PLG) experiments, ensuring strict statistical rigor (A/B testing, cohort modeling).
- Proactive Funnel Diagnostics: Act as the detective for our revenue engine. You will hunt down the root causes behind metric anomalies, conversion fluctuations, or performance dips, translating raw data into executive-ready narratives and decision memos.
- Scale Self-Serve Data Products: Build automated dashboards and robust business review materials that give Go-To-Market (GTM) teams and executives trusted, crystal-clear visibility into real-time performance.
- Align Global Analytics: Partner closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency.
Minimum Qualifications
- The Experience: 3–5+ years of experience in growth data science, commercial/revenue analytics, or product analytics within tech, B2B SaaS, or high-growth AI companies.
- Technical Foundation: Advanced SQL proficiency and deep experience with commercial analytics methods (funnel analysis, cohort analysis, lifetime value modeling, user segmentation). Strong hands-on experience building out modern BI reporting systems (e.g., Looker, Tableau, Metabase).
- Strategic Ownership: High ownership mindset with a proven ability to turn complex, multi-touch datasets into clear, actionable business strategies. You take pride in moving projects independently from data pull to executive pitch.
- Business Acumen: Strong commercial intuition. You understand sales funnels (e.g., renewal, expansion) and know how marketing channels interact with product conversion.
- Communication: Clear, compelling communication skills with the ability to bridge the gap between technical datasets and non-technical growth partners.
Preferred Qualifications
- Direct experience supporting B2B monetization, packaging changes, or hardware-plus-software pricing strategy.
- Comfort using AI-assisted analytics tools or automation workflows to maximize analytical efficiency.
- A background working in fast-paced tech environments or early-stage products with rapidly evolving data infrastructure.
What We Offer
- Meaningful Ownership: An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success.
- High-Impact Environment: Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
- Comprehensive Health & Retirement Benefits: Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.
- Time Off & Workplace Benefits: Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.
- Cutting-Edge AI Tools for Productivity: Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.
- Best-in-Class Equipment: Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
- Team & Culture: Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.
Disclaimer: Plaud is and will continue to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.
About Plaud Inc.
Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity. Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection. To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube.
About The Role
We’re looking for a Data Scientist to partner closely with Product Management on an upcoming product initiative. This is a hands-on role designed for someone who can identify the right problems to solve, execute rigorous analysis end-to-end, and translate insights into clear product decisions. You will operate in an early-stage product environment where ambiguity is high, metrics are evolving, and early decisions have an outsized impact on product adoption, active usage, and future monetization opportunities.
What You Will Do
- Own the Growth & Commercial Architecture: Architect and define key commercial metrics, funnels, and leading indicators across user acquisition, activation, conversion, retention, and revenue performance.
- Drive Monetization & Pricing Strategy: Partner with leadership to support subscription monetization, packaging, and pricing decisions by building structured evaluation frameworks and clear, data-backed recommendations.
- Lead Growth & Marketing Experimentation: Design, execute, and validate marketing campaigns, growth initiatives, and product-led growth (PLG) experiments, ensuring strict statistical rigor (A/B testing, cohort modeling).
- Proactive Funnel Diagnostics: Act as the detective for our revenue engine. You will hunt down the root causes behind metric anomalies, conversion fluctuations, or performance dips, translating raw data into executive-ready narratives and decision memos.
- Scale Self-Serve Data Products: Build automated dashboards and robust business review materials that give Go-To-Market (GTM) teams and executives trusted, crystal-clear visibility into real-time performance.
- Align Global Analytics: Partner closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency.
Minimum Qualifications
- The Experience: 3–5+ years of experience in growth data science, commercial/revenue analytics, or product analytics within tech, B2B SaaS, or high-growth AI companies.
- Technical Foundation: Advanced SQL proficiency and deep experience with commercial analytics methods (funnel analysis, cohort analysis, lifetime value modeling, user segmentation). Strong hands-on experience building out modern BI reporting systems (e.g., Looker, Tableau, Metabase).
- Strategic Ownership: High ownership mindset with a proven ability to turn complex, multi-touch datasets into clear, actionable business strategies. You take pride in moving projects independently from data pull to executive pitch.
- Business Acumen: Strong commercial intuition. You understand sales funnels (e.g., renewal, expansion) and know how marketing channels interact with product conversion.
- Communication: Clear, compelling communication skills with the ability to bridge the gap between technical datasets and non-technical growth partners.
Preferred Qualifications
- Direct experience supporting B2B monetization, packaging changes, or hardware-plus-software pricing strategy.
- Comfort using AI-assisted analytics tools or automation workflows to maximize analytical efficiency.
- A background working in fast-paced tech environments or early-stage products with rapidly evolving data infrastructure.
What We Offer
- Meaningful Ownership: An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success.
- High-Impact Environment: Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
- Comprehensive Health & Retirement Benefits: Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.
- Time Off & Workplace Benefits: Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.
- Cutting-Edge AI Tools for Productivity: Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.
- Best-in-Class Equipment: Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
- Team & Culture: Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.
Disclaimer: Plaud is and will continue to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.
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Find Mid Level Data Scientist JobsMid Level Data Scientist Job Market
Who's Hiring
- Apple16
- JPMorganChase11
- Whatnot10
- Capital One9
- Lyft7
Top Industries Hiring
- Technology & Software103
- Retail24
- Electronics & Hardware19
- Banking & Financial Services18
- Insurance16
Mid Level Data Scientist Jobs: Frequently Asked Questions
How do I get a mid level data scientist job?
Position yourself around ownership: applications that show you drove a project from data collection through production deployment stand out. Highlight work where your analysis changed a business decision, not just where you ran models. Tailor your resume to the domain the employer works in, and be ready to walk through your methodology and results in detail during interviews.
Which companies hire mid level data scientists?
Companies hiring mid level data scientists right now include Apple, JPMorganChase, and Whatnot, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a mix of established technology firms, financial services companies, healthcare organizations, and fast-growing startups that need scientists who can work independently and deliver without heavy supervision.
Are there remote mid level data scientist jobs?
Yes, remote and hybrid options are common at this level. About 46% of mid level data scientist openings are remote or hybrid as of August 2026, reflecting how many data teams have shifted to distributed work. Fully on-site roles still exist, particularly in regulated industries like healthcare and finance where data governance is stricter.
How do I move up to a mid level data scientist role?
Growth from entry level to mid level comes from accumulating ownership, not just time. Focus on leading a project end to end, building something that other teams depend on, and quantifying the impact of your work in business terms. Deepening expertise in one domain or technique, such as NLP, causal inference, or ML deployment, also accelerates the transition and gives hiring managers a clear reason to level you up.
Which industries hire the most mid level data scientists?
Mid Level data scientist roles concentrate in Technology & Software, Retail, and Electronics & Hardware, based on current listings on Migrate Mate as of August 2026. Those sectors drive hiring at this level because they generate large, complex datasets that require scientists who can work independently, build reliable pipelines, and connect analytical outputs directly to product or operational decisions.