Lead Data Scientist

Position Summary

The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.

Duties and responsibilities

• Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
• Work as an Individual Contributor and should be able to manage a team as well
• Participate in complex analytical projects and apply data engineering techniques to support new or existing data products
• Support the team or management by producing quick-turnaround analysis, model development, and quality assurance for product development, consulting projects, and client presentations
• Gather knowledge about the Maritime industry and its interrelationship with various economic and policy decision
• Work closely with the research team and product management team to take their inputs and develop a product
• Mentor junior team members on various algorithms, tools and techniques in the world of data science

Business competencies

Essential

• 10+ years of industrial/research experience in a Data Science/Engineering Team
• 2-3 years of experience in working in time series forecasting
• 2+ years of experience in working with cloud technologies AWS/Dataricks
• 1+ years of experience in implementing LLMs for analytics products/services
• 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
• Experience in creating docker containers
• Experience working on end-to-end analytics project from requirements analysis till deployment of project
• Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
• Knowledge of RDBMS concepts and experience working with SQL
• Understanding of data visualization principles and experience with data visualization tools such as Tableau
• Masters degree in a quantitative discipline (Computer Science, Mathematics, Econometrics, Engineering, Data Science)
• In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
• Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining

Beneficial

• Experience working with geo-spatial data and/or unstructured data at scale
• Experience in other statistical programming languages like SPSS, Eviews etc.
• Experience in working in Maritime Industry

Personal competencies

• Good logical thinking and problem-solving skills
• Good communication skills and ability to confidently present technical solutions to stakeholders
• Great teamwork and ability to connect with people and build strong professional relationship