Data Science Manager Resume
Summary : As a Data Science Manager, supported the technical development of data science and machine learning capabilities across the commercial organization, including patient journey analytics using Real-World Data (RWD) sources, predictive modeling at patient and provider level, provider/account segmentation, targeting, and market mix optimization.
Skills : Leadership, Project Management.
Description :
- Led a team of data scientists in designing, developing, and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement.
- Contributed directly to the development of sophisticated models and the more advanced data science deliverables and assisted the team in interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers.
- Mentored team and ensured adherence to established coding and ML standards, and actively engaged with source control and change management processes.
- Partnered with business leaders regarding the development and application of data science products to our business.
- Routinely Interacted with product and service teams to identify opportunities for data-driven solutions and experiments.
- Expertised or innovative knowledge uses skills to contribute to the development of company objectives and principles and to achieve goals in creative and effective ways.
- Developed and maintained skills to the highest standards consistent with best practices and emerging trends in analytics and data science.
Experience
10+ Years
Level
Senior
Education
Master's Degree in Data Science
Data Science Manager Resume
Summary : As a Data Science Manager, provided mentoring, coaching, and career guidance to develop and retain talent, and led a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world.
Skills : Data Analysis, Machine Learning.
Description :
- Drove analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
- Influenced product direction through clear and compelling presentations to leadership.
- Worked with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
- Identified and measured the success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
- Defined, understood, and tested opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Contributed towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
- Managed, mentored, and grew a team of data scientists and built solid working partnerships with product teams.
Experience
7-10 Years
Level
Management
Education
Master's Degree in Statistics
Data Science Manager Resume
Headline : As a Data Science Manager, acted as a strategic thought partner to product teams and Coinbase executives, led the team to execute data-based analyses to help prioritize product opportunities and provide actionable recommendations.
Skills : Communication, Team Collaboration.
Description :
- Standardized best practices for analysis, modeling, and experimentation, and developed scalable processes to help the team solve pain points and meet goals.
- Designed communication structure and cadence with team members.
- Synthesized data learnings (success or failures) into compelling stories and communicated them throughout Coinbase.
- Acted as the business metrics owner for performance management, drove data team and organizational level initiatives to scale our insights through better systems and automation.
- Developed and implemented ML/DS technology vision and roadmap for Workday Finance.
- Prioritized data science projects aligned with business goals.
- Collaborated across the organization to understand partner needs, and advocated for the value of data science and ML.
Experience
5-7 Years
Level
Executive
Education
Master's Degree in Statistics
Data Science Manager Resume
Objective : As a Data Science Manager, led and mentored data scientists and ML engineers, recruited, hired, and onboard team members, and built a culture of collaboration, creativity, and innovation.
Skills : Strategic Thinking, Problem-Solving.
Description :
- Stayed current with AI technologies, especially Workday AI capabilities.
- Participated in all phases of the development lifecycle, from requirements analysis to implementation.
- Selected appropriate tools and technologies for AI projects.
- Designed and conducted experiments to validate ML models.
- Defined project objectives, timelines, and deliverables.
- Managed budgets and resources, supervised progress, and addressed challenges.
- Communicated updates and results to partners.
Experience
2-5 Years
Level
Executive
Education
Master's Degree in Data Science
Data Science Manager Resume
Objective : As a Data Science Manager, ensured successful delivery of data science and ML projects, participated in the agile development process, including estimation, and served as a central point of contact for Workday Product teams on AI features and roadmaps.
Skills : Programming, Data Visualization.
Description :
- Partnered with cross-functional teams to integrate data science and ML solutions.
- Built relationships with key stakeholders.
- Presented data insights and recommendations clearly and concisely.
- Telecommuted and/or working from home may be permissible according to company policies.
- Provided thought leadership and strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics, and machine learning.
- Led a team of data scientists, providing guidance and mentorship to drive professional growth and skill development.
- Collaborated with cross-functional teams to understand business requirements and develop data science strategies aligned with organizational goals.
Experience
2-5 Years
Level
Executive
Education
Master's Degree in Data Science
Data Science Manager Resume
Objective : As a Data Science Manager, closely monitored performance metrics and KPIs to ensure goals were met and course correct as necessary, telecommuted and/or working from home may be permissible under company policies.
Skills : Data Science Expertise, Leadership and Team Management.
Description :
- Responsible for developing strong organizational and communication skills through coursework and volunteer activities.
- Responsible for identifying issues, analyzing information, and providing solutions to problems.
- Responsible for acting as a team leader in group projects, delegating tasks, and providing feedback.
- Responsible for managing time efficiently to complete all tasks within deadlines.
- Responsible for developing strong communication and organizational skills through working on group projects.
- Responsible for demonstrating respect, friendliness, and willingness to help wherever needed.
- Responsible for organizing and detail-orienting with a strong work ethic.
Experience
2-5 Years
Level
Executive
Education
Master's Degree in Computer Science
Data Science Manager Resume
Summary : As a Data Science Manager, responsible for demonstrating strong organizational and time management skills while managing multiple projects, responsible for gaining strong leadership skills by managing projects from start to finish.
Skills : Project Management, Communicational Skills.
Description :
- Responsible for successfully delivering resulting in measurable impact on business outcomes.
- Responsible for conducting exploratory data analysis to identify trends, patterns, and insights to inform business strategies.
- Responsible for strengthening communication skills through regular interactions with others.
- Responsible for proving successful working within tight deadlines and a fast-paced environment.
- Responsible for using strong analytical and problem-solving skills to develop effective solutions for challenging situations.
- Responsible for delivering services to customer locations within specific timeframes.
- Responsible for assisting with day-to-day operations, working efficiently and productively with all team members.
Experience
7-10 Years
Level
Management
Education
Master's Degree in Computer Science
Data Science Manager Resume
Headline : As a Data Science Manager, delivered presentations to high-level business stakeholders that told cohesive, logical stories using data, took part in recruiting, including reviewing, shaping, and evolving our process, training team members to interview effectively, and proactively engaging candidates.Developed KPIs and measures of success in a cross-platform world.
Skills : Data Governance and Ethics.
Description :
- Led development of data tools, such as dashboards and A/B testing platforms.
- Worked cross-functionally with stakeholders to ensure data-driven answers were provided and recommended.
- Developed techniques/algorithms/measurements for research and analysis work.
- Led the development and resolution of critical initiatives to support customer growth and provide critical decision support across Generics.
- Worked with other teams to identify problems in different areas where data mining/machine learning/statistics can help.
- Communicated results, and developed and maintained strong relationships with key stakeholders, partners, and internal clients.
- Managed and built out a team of motivated Analysts, Data Scientists, and or Statisticians.
Experience
5-7 Years
Level
Executive
Education
Master's Degree in Computer Science
Data Science Manager Resume
Headline : As a Data Science Manager, drove business value, prioritized initiatives to ensure delivery of business value while continuing to build out the team's core competencies, and led and grew the Data Science and Machine Learning team.
Skills : Technical Proficiency, Data Visualization.
Description :
- Developed the tools to best drive insights across the breadth of the Skype Consumer family of products through both aggregate and real-time data streams.
- Championed the use of Data Science practices across all aspects of our product and service portfolio and our business engagements.
- Helped further drive our culture of Learning through building and fostering exploration and discovery.
- Developed data-driven insights & solutions with advanced analytics (machine learning, deep learning, and statistical models) to extract insights from large proprietary agronomic data sources (millions of acres of farm data, terabytes of imagery, and corresponding weather/soil/genetics data).
- Identified, implemented, and presented results of research on novel ways machine learning approaches can improve decisions, add value to services, and contribute to the advancement of ideas in the marketplace & agriculture.
- Tracked record of leading successful data science teams and delivering impactful business solutions.
- Adepted at leveraging advanced analytics, machine learning, and statistical modeling to drive data-driven decision-making. Skilled in project management, team leadership, and cross-functional collaboration, passionate about driving innovation and solving complex business problems through data.
Experience
5-7 Years
Level
Executive
Education
Master's Degree in Computer Science
Data Science Manager Resume
Objective : As a Data Science Manager, collaborated with stakeholders to understand their needs and translate them into actionable data science projects. Responsible for presenting findings and insights to non-technical stakeholders clearly and understandably.
Skills : Collaboration with Cross-Functional Teams.
Description :
- Provided leadership, guidance, and mentorship to a team of data scientists.
- Fostered a collaborative and innovative team culture.
- Developed and nurtured the skills and professional growth of team members.
- Oversaw end-to-end data science projects, ensuring they align with organizational goals.
- Defined project scope, objectives, and deliverables in collaboration with stakeholders.
- Created and managed project timelines, ensuring timely delivery of high-quality solutions.
- Collaborated with business leaders to understand their objectives and challenges.
Experience
2-5 Years
Level
Executive
Education
Master's Degree in Computer Science
