Data Science Team Leader

Additional details:
We are looking for Data Science Team Leader who will support our product, sales and marketing teams with insights gained from analyzing company data. You must have a proven ability to yield business results with your data-driven insights and must be comfortable working with a wide range of stakeholders and functional teams.
Responsibilities
• Be responsible for the entire algorithmic life cycle: data analytics, prototyping of new ideas, implementing algorithms in a production environment and then monitoring and maintaining them
• Research and develop state-of-the-art techniques in the field of computer vision, ML and DL
• Turn algorithm prototypes into shippable products that will have a significant and immediate impact
• Undertake pre-processing of structured and unstructured data
• Propose solutions and strategies to overcome business challenges
• Collaborate with engineering and product development teams
• Analyze large amounts of data in order to extract significant insights
• Bachelor’s degree in computer science, engineering, mathematics or related field
• 2+ years of managerial experience
• 5+ years of experience as a data scientist
• Ability to multitask, prioritize, and manage time effectively
• Very strong problem-solving and critical-thinking skills
• Strong familiarity and hands-on experience with SQL and statistical software packages (Python, R)
• Work experience with an emphasis on quantitative research methods (mathematics, computer science, statistics, economics or related fields)
• Knowledge and experience in data-mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
• Experience in translating analysis results into business recommendations and business questions into an analytical framework
Preferred qualifications
• Master’s degree in computer science, mathematics or related field
• Experience using scoring algorithms/risk models
• Experience analyzing financial data
• Experience with big data technologies like MongoDB
• Experience with distributed data/computing tools such as Map/Reduce, Hadoop, Spark