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Tech Stack
Tools & technologiesCloudPandasPythonSparkSQLTensorflow
About the role
Key responsibilities & impact- Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
- Research innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems
- Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative product development
- Work with key stakeholders and understand their needs to develop advanced solutions or improve existing solutions around big data and advanced analytics
- Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
- Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects
- Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise
- Lead the analytical strategy on critical technical capabilities
- Perform as lead technical data scientist for multiple technical and business domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions and asking questions
- Evaluate the technical work of experienced data scientists guiding them on deliverable quality and accuracy
Requirements
What you’ll need- Master’s degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred
- 7-10 years of experience in a related role, with experience demonstrating leadership capabilities
- 5+ years experience applying predictive analytics and modeling to solve business problems
- 5+ years of experience with Python, Tensorflow, SQL (strong skills and scripting experience), and Spark with advanced experience in data manipulation libraries (e.g., Pandas, Dask, Spark DataFrames)
- Theoretical and practical understanding of algorithm time and space complexity, and a proven ability to apply this knowledge to develop efficient and scalable data science solutions
- Excellent problem-solving skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment
Benefits
Comp & perks- comprehensive compensation and healthcare packages
- 401k matching
- paid time off
- organizational growth potential through our online learning platform with guided career tracks
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
predictive analyticsmodelingPythonTensorflowSQLSparkPandasDaskdata manipulationalgorithm complexity
Soft Skills
leadershipproblem-solvingnavigating ambiguitycollaborationanalytical thinkingcommunicationstakeholder engagementstrategic thinkingadaptabilityinnovation
Certifications
Master’s degreePhDMathematicsStatisticsData SciencePhysicsComputer ScienceOperations ResearchEconomicsEngineering