Associate Vice President - Data Science Job in Decision Point

Requirements

• Led teams of data scientists in designing, developing, and delivering machine learning projects
  
• Worked on a variety of Data Science projects, such as Pricing Analytics, Market Mix Modeling,
  
• Demand Forecasting, clustering etc.
  
• Strong grasp of Statistical, Econometric (including Time Series), ML modeling, and their
  
• applications in business
  
• Proficiency in Python, SQL, Data Models and Architectures
  
• Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. and large
  
• data streaming technologies like Spark, etc. is a plus
  
• A team player who can deliver under pressure
  

• The AVP leads the team of Data Scientists at DP. The major responsibilities include:
  

• Ownership of the design and delivery of data science components of solutions
  
• Data Science team management from productivity enhancement to shaping their careers
  
• Data Science Capability Development from implementing industry best-practices including MLOps, coding standards, code re-usability etc.
  
• Predictive ordering A recommendation engine to prevent SKUs from going Out of Stock with ML based predictions.
  
• Price Simulator - Optimize product range prices so that the client maximizes profits.
  
• Promotion Analytics - From a myriad of promotions, figure out the performance of every promotion. Also create a promotions simulator where users can see in advance what kind of results to expect.
  
• Hyper-personalization solution - Personalize the experience for customers with tailor made call scripts, customized scheme, assortment etc.
  
• Asset Performance Assessment - Given client's budget to install coolers for some of the outlets, figure out the selection of outlets which will result in maximum ROI.
  
• Customer Segmentation - Segmenting the retailers/POS so that a manufacturer can design proper incentives.
  
• Sales/Demand Forecasting Help clients plan their production/inventory by forecasting future demand.
  

Benefits

• Cross functional exposure: We assign a complete dedicated team to a project which includes Data scientist, Business Analyst, Development Team, Data engineers etc. This gives you an exposure of interacting with cross functional teams.
  
• Challenging projects: When you work at Decision Point, you are guaranteed to work on some of largest and most challenging problems in the world. This entails some intense critical thinking and hard work but also a rewarding experience.
  
• Multiple technology tools exposure Working at Decision Point can offer you an opportunity to explore various technologies and types of problems in a structured way. This provides you an opportunity to explore multi-cloud experience, cutting edge technologies etc. Over the time, you can develop a specialty that makes you a valued expert in a field.
  
• Direct client interaction with Top Notch clients: Decision Point enjoys a stellar record with top global FMCG/CPG brands. Working with the best clients results not only in interesting work but also exposure across industries of leading executives. You will also get to witness the impact of implementing of your recommendations/strategies as you will be working very closely with clients on day-today basis
  
• Young and dynamic culture: the average age here is about 25 years. There is a lot of energy flowing all the time. We work hard and party harder. Our work environment is very flexible, and we understand your work life balance. We take off to mountains or beaches to recoup at least once a year and ensure we get together at the end of each quarter.
  
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