Data Science Analyst at TransUnion focused on data insights in analytics initiatives. Requires a bachelor's degree and significant experience with technologies like SQL, R, and Tableau.
About the role
- Platform Modeling Manager leading machine learning and data science strategy at Grubhub. Overseeing model development and team management while collaborating with stakeholders on business insights.
Responsibilities
- oversee the design, development, and implementation of advanced statistical and machine learning models and algorithms to solve complex business problems within the delivery ecosystem
- guide the team in conducting exploratory data analysis and applying quantitative techniques to derive actionable insights and recommendations that drive business value
- define and enforce strong software architecture and development best practices, ensuring the team builds, owns, and maintains scalable, reusable services, features, and components
- monitor the health of the production models, utilizing metrics, observability, and logging tools
- lead, inspire, and grow a diverse team of data scientists, providing mentorship, career planning, and constructive feedback
- collaborate with senior leadership to define and execute Wonder’s data science and engineering strategy, aligning roadmaps and timelines with core business goals
- craft a meaningful technical vision for the team, working closely with product and engineering teams to lead ML and AI vision and cross-functional initiatives
- lead the team's agile ceremonies, positively influencing the planning, refinement, and execution of goals in a rapid development environment
- act as a trusted advisor to business partners, providing strategic guidance and thought leadership on data-driven decision-making
Requirements
- 3+ years of management experience leading and motivating a team of data scientists or software engineers, including mentorship and career planning
- 6+ years of software engineering or related experience
- proven track record of leading technical teams in a fast-paced, Agile environment, managing multiple priorities and deliverables simultaneously
- experience in a self-directed role, responsible for end-to-end deliverables, and a history of advocating for strong data science standards
- master's degree in Computer Science, Statistics, Mathematics, or a related field
- expertise in machine learning, statistical analysis, and data mining techniques
- strong proficiency in key programming languages such as Python, R, and SQL
- proficiency with big data technologies, e.g. dbt, Apache Spark, Ray or similar
- experience dealing with production runtime constraints and trade-offs
- strong fundamentals in statistics and data structures
- deep understanding of and hands-on experience with distributed computing systems
- ability to debug production issues using observability and logging tools
Benefits
- competitive salary package including equity and 401K
- multiple medical, dental, and vision plans to meet all of our employees' needs
- many benefits and perks that are not listed
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist working at HP analyzing complex data sets using statistical techniques. Developing data - driven models and insights to improve organizational performance while mentoring project teams.
Senior Data Scientist creating predictive models and extracting insights for BlueCross BlueShield healthcare operations. Collaborating across teams to enhance decision - making and outcomes for members.
Senior Technology Recruiter focusing on Data Science and Engineering at CVS Health. Responsible for attracting top technical talent through strategic recruiting and innovative practices.
Senior Data Scientist applying advanced statistical methods to manufacturing challenges in global health. Collaborating across global teams to improve quality control and regulatory submissions.
Advance Data Scientist designing and implementing data driven solutions for Honeywell business functions. Collaborating with teams to integrate results into operational platforms.
Data Scientist addressing complex business challenges leveraging statistical, machine learning, and AI techniques. Collaborating across functions to develop and deploy scalable analytics and predictive models.
Data Science Analyst implementing machine learning models in a telecom company. Developing pipelines and ensuring data quality while collaborating with different teams.
Data Scientist implementing machine learning and big data solutions for OLITEL in Lima. Collaborating on data analysis, and reporting while ensuring data quality.
Senior Data Science & AI Content Developer leading curriculum creation for DECI project in Egypt. Designing innovative learning paths and mentoring junior developers in a hybrid role.