Data Science Product Manager Resume
Objective : As a Data Science Product Manager, challenged the status quo, drove data-backed decision-making, partnered closely with product leaders to understand new product offerings being built, and recommended the right metrics to measure the performance of those features.
Skills : Understanding of data science and machine learning.
Description :
- Identified key metrics, conducted rigorous explorative data analysis, created executive-facing dashboards, and built business cases that drive decision-making and business prioritization.
- Analyzed consumer product performance and health, triage issues, and provided recommendations on the best course solution and optimization.
- Synthesized large volumes of data with attention to granular details and presented findings and recommendations to senior-level stakeholders.
- Collaborated with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines.
- Defined and cultivated best practices in analytics instrumentation and experimentation.
- Supported multiple projects at the same time in a fast-paced, results-oriented environment.
- Coached and mentored a small group of team members on day-to-day delivery.
Experience
2-5 Years
Level
Executive
Education
Bachelor's In Computer Science
Data Science Product Manager Resume
Headline : As a Data Science Product Manager, ensured that all data governance best practices were utilized, including data classification, privacy controls, performance & lineage observability, and inclusion in the data catalog.
Skills : Artificial intelligence, Proficiency in programming languages.
Description :
- Worked with the Head of Product and Head of Data to define a data product strategy that aligns with business objectives, internal capabilities, and market opportunities.
- Presented data products & informational materials at the appropriate level of detail to executives & business partners.
- Maintained sharp professional knowledge & skills, and stayed abreast of new developments in data technologies, data science, ML, and AI.
- Mentored and supervised less senior staff.
- Trained with data storage architectures such as relational databases, data warehouses, data lakes, lakehouses, and data mesh.
- Understood data flow architectures including microservices & APIs, ETL/ELT, and data streaming.
- Worked knowledge of agile development methodologies.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Senior Data Science Product Manager Resume
Summary : As a Senior Data Science Product Manager, managing a portfolio of data products consisting of curated datasets and AI/ML solutions accessible through a variety of interfaces, researched, conceived, and documented new data products through user interviews, surveys, and concept testing.
Skills : Knowledge of big data technologies and product Management Skills.
Description :
- Worked with partners (Product Engineering, Marketing, Sales, Operations, BI) to document requirements for data products including objectives, performance, and ROI.
- Coordinated with software Product Managers to ensure that data products are accessible to end users through interfaces or integration into software products.
- Prioritized development of data products based on user feedback, technical feasibility, resources, strategic goals, and ROI.
- Worked with Data Technical Project Managers to set development schedules, report status, and deliver products on time.
- Collaborated closely with Data Science & Engineering teams to ensure seamless integration of data products within our data ecosystem.
- Coordinated A/B testing and other approaches to quantify the performance of data products.
- Defined & reported KPIs to measure data product performance, user adoption, and ROI.
Experience
10+ Years
Level
Senior
Education
Bachelor's In Computer Science
Data Science Product Manager Resume
Headline : As a Data Science Product Manager, created documentation and collateral that describe feature sets for internal and external audiences, supported sales via training, onboarding, and ongoing support of customer initiatives using new products.
Skills : Proficiency in using product management tools and analytical Skills.
Description :
- Evangelized the longer-term product vision and strategy for our global catalog investment.
- Ensured an ongoing delivery of data-driven customer and business value features.
- Developed and maintained key relationships with local business, product, and technology leaders to ensure visibility and alignment around key priorities, turning points, and integrations.
- Took end-to-end ownership of key projects that span multiple teams across eBay.
- Worked with data science teams and solving complex algorithmic challenges.
- Worked in a global organization, with remote partners.
- Developed a clear vision and roadmap for data science products that aligns with business objectives and customer needs.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Data Science Product Manager Resume
Summary : As a Data Science Product Manager, I balanced long-term vision with immediate decision-making, analyzed situations, applied independent judgment, discretion, and initiative to address problems,, and developed practical, thorou,gh and creative solutions.
Skills : Business Acumen, Communication Skills.
Description :
- Worked within, influenced within, and networked within the political climate of a large matrixed organization.
- Aligned with key stakeholders on business needs to gather product requirements.
- Drove product development with engineering, data science, and other internal teams.
- Owned the ideation, technical development, launch, and adoption of the products you build.
- Built and maintained short-term and long-term product roadmap.
- Ensured features meet demands via extensive testing and customer feedback.
- Defined product KPIs and metrics to track the success of the product.
Experience
7-10 Years
Level
Management
Education
Bachelor's In Computer Science
Lead Data Science Product Manager Resume
Headline : As a Lead Data Science Product Manager, developed science solutions within our product offerings in the healthcare revenue cycle., utilized research, stakeholder insights, and business expertise to perform prompt engineering, review model architecture, and guide data scientists in feature engineering.
Skills : Leadership and Collaboration.
Description :
- Prepared high-quality plans and roadmaps that synthesize data science vision and progress.
- Groomed, prioritized, and juggled multiple data science projects.
- Created informative visualizations that intuitively display large amounts of data and/or complex relationships for internal stakeholders. Independently researched business challenges and model results using SQL, Python, or other tools.
- Researched model results and features to hone performance.
- Acted as a bridge between business stakeholders and engineering.
- Distilled complex data concepts into simple language and business concepts.
- Presented to stakeholders and management and drive project alignment.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Data Science Product Manager Resume
Headline : As a Data Science Product Manager, served as the primary link between the Scrum team and marketing/sales operations teams, collaborated with data scientists, engineers, analysts, and other cross-functional teams to ensure timely and effective product delivery.
Skills : Product Strategy, Roadmap Development, Data Science, Machine Learning.
Description :
- Evaluated and documented the current state of the business' operations, identifying areas for improvement and assessing readiness for change.
- Prioritized the team-level product backlog, inheriting priorities from the parent program roadmap.
- Validated the completeness of product backlog items and defined clear acceptance criteria.
- Enhanced the value of the team's end product through scalable and automated opportunity assessment and performance measurement of data science insights.
- Represented the team in program-level product owner sync-ups to ensure alignment with the program and enterprise vision.
- Created and implemented strategies for data science initiatives that drive business growth and operational efficiency.
- Communicated diligently with product management and customers to ensure their wants and needs were reflected in the product backlog.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Data Science Product Manager Resume
Headline : As a Data Science Product Manager, stayed abreast of advancements in data science techniques, tools, and technologies, identified opportunities to integrate them into products.
Skills : Cross-Functional Team Leadership, Agile & Scrum Methodologies.
Description :
- Focused on data science products or projects.
- Understood data science principles, machine learning techniques, and statistical modeling.
- Worked effectively with cross-functional teams and stakeholders.
- Thrived in a fast-paced, dynamic environment and adapt to changing priorities.
- Trained of cloud platforms and services (AWS, Azure, Google Cloud Platform).
- Championed a culture of data-driven decision-making and experimentation within the organization.
- Oversaw the entire product lifecycle from ideation and development to deployment and maintenance.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Data Science Product Manager Resume
Headline : As a Data Science Product Manager, created clear product requirements and technical specifications, communicated effectively with data scientists, understood ML workflow, and explained technical concepts to non-technical stakeholders.
Skills : Data-Driven Decision Making, Market & User Research.
Description :
- Defined the vision, strategy, and roadmap for data science products and features.
- Worked closely with cross-functional teams including data scientists, engineers, designers, and business stakeholders to deliver cutting-edge solutions that address customer needs and drive business growth.
- Defined and prioritized the product backlog based on customer needs, market trends, and business goals.
- Collaborated with stakeholders to gather requirements, define success metrics, and validate product hypotheses.
- Translated business requirements into technical specifications and user stories, working closely with data scientists and engineers.
- Led the development process, including sprint planning, backlog grooming, and sprint reviews.
- Monitored and analyzed product performance metrics, user feedback, and model performance to drive continuous improvement.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Data Science Product Manager Resume
Objective : As a Data Science Product Manager, drove adoption of MLOps frameworks and onboarding to the ML platform, collaborated with other DS product managers to build a backlog of capabilities within our ML platform that meets business needs.
Skills : Data Analytics & Visualization, Stakeholder Management.
Description :
- Ensured execution runs smoothly within the ML Engineering team and across partner teams, breaking down the roadmap into the product backlog, supporting user stories, and acceptance criteria, and creating interaction models to stay on track.
- Developed a roadmap for experimentation platforms and tools.
- Scaled experimentation best practices and adoption across teams.
- Organized training and built documentation to scale knowledge on MLOps and Experimentation.
- Trained of Snowflake and other data platforms and pipeline technologies.
- Worked closely with internal stakeholders, including executives, business units, and end-users, to gather and understand their requirements and pain points.
- Translated business requirements into technical specifications for data science teams.
Experience
2-5 Years
Level
Executive
Education
Bachelor's In Computer Science
