Data Scientist
Apply NowCompany: Futran Tech Solutions Pvt. Ltd.
Location: Austin, TX 78745
Description:
Data Scientist at Austin, Texas, United States
Required Skills :
Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Analytics, Business Administration, Applied Mathematics or Statistics, or closely related field. Masters/PhD preferred.
Required Skills :
Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Analytics, Business Administration, Applied Mathematics or Statistics, or closely related field. Masters/PhD preferred.
- 12+ years of experience in data and analytics with progressively increasing responsibility including 3+ years managing a team in a dynamic environment
- 3+ years of demonstrated experience in solving complex business problems using data science, statistical techniques and machine learning to build predictive and prescriptive solutions to deliver measurable business impact
- Deep understanding of statistical methods and robust inference
- Ability to draw insights and conclusions from data to inform experiment design and business decisions through rigorous analysis and meta-analysis
- Desire to collaborate with other product managers, data scientists, data analysts, and key business partners
- Experience developing both machine learning and descriptive algorithms/modeling using languages as Python, R, NLP etc.
- 4+ years of experience with diverse structured and unstructured data sets on relational - SQL, NOSQL databases
- 5+ years of experience with one or more of Enterprise Visualization Tools: Tableau, QlikView, PowerBI
- Proficient in Microsoft Office Suite with advanced Excel skills: pivot tables, macros, PowerPivots, advanced functions
- Solid understanding of cloud platforms like AWS, Azure and/or GCP and familiarity with their AI/ML services
- Comfortable formulating actionable insights and recommendations from analytics into presentations (using PowerPoint, Tableau, etc.) and presenting results to various levels of management