Data Science Manager @ Kotak Mahindra Bank

Job Description

Ford Pro is a new global business within Ford committed to commercial customer productivity. Ford Pro delivers a work-ready suite of vehicles, accessories, and services for virtually every vocation, backed by technology and engineered for uptime. A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers" businesses thrive today and into the new era of electrification. In this position This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do. The Data Science Lead will have a strong technical background and demonstrated experiences in Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and solutions. You will use your business acumen, knowledge of data and AI to support key products within Pro. Tech that focus on improving customer experience, increasing revenue, and improving efficiency across the business. The Data Science Lead will be responsible for coaching and providing growth opportunities to direct reports. The Data Science Lead will be able to develop healthy relationships and trust with business stakeholders and peers across Ford Pro Tech and Ford. The minimum requirements we seek: Bachelors Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) 5+ years of experience of analytical methods and their proper application 5+ years of experience using data science software (e.g., R, SAS, Python-based tools) Experience working in a cross-functional, agile product team environment/analytic delivery team. 2+ years of experience in Automotive, Transportation, Digital Business, or Analytics Consulting 2+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations. 2+ years leading and managing direct reports. Experience using Cloud Platforms Our preferred requirements: 5+ years leading and managing direct reports. Masters Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Nave Bayes, Neural Networks, regression, image processing, natural language processing, Experience using Gen AI technologies. Working knowledge of GCP. Expertise in open source data science technologies such as Python, R, Spark, SQL. Self-motivated with excellent verbal and written skills. Proactive, great attention to details, results-oriented problem-solver. Ability to work under pressure, establish priorities and respond with urgency. Consensus building and collaborative interpersonal skills. Highly seasoned in organizational, time management, decision making and problem-solving skills. What you'll do Strategic Thinking & Leadership Lead a team of data scientists to develop strategies for our products. Collaborate with business customers to understand business challenges and develop strategies for solving them using advanced analytics. Help define and communicate product vision and delivery with key stakeholders. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. Technical Leadership Support technical reviews of analytical methods & solutions. Support the prioritization of advanced analytic research needed to advance the products capabilities. Hands on leadership of developing analytical solutions. Delivery Focus Drive analytics products end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. Influence product direction through clear and compelling presentations to leadership. Team Development Contribute towards advancing the Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists. Promote and facilitate learning and development needs of team. Support team members as part of product delivery model

Employement Category:

Employement Type: Full time
Industry: Automobile / Auto Ancillaries
Role Category: Sales / BD
Functional Area: Not Applicable
Role/Responsibilies: Data Science Manager

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Keyskills:   Data Science Automotive Transportation Simulation Design of Experiments Genetic Algorithms Neural Networks Regression Image Processing Natural Language Processing GCP Python R Spark SQL Consensus Building Collaboration Time Management AIML Analytical Methods Data Science Software Digital Business Analytics Consulting Cloud Platforms Advanced Predictive Analytical Methods Ensemble Methods Nave Bayes Verbal Written Skills ProblemSolving Organizational Skills