Data Scientist

Data Scientist

Job Title: Data Scientist
Contract Type: Permanent
Location: Mumbai
Reference: 1_03042019
Contact Name: Pooja Mungekar
Contact Email:
Job Published: April 03, 2019 11:49

Job Description

A leading international hedge fund and quantitative investment management firm is looking for a Data Scientist for their Mumbai office. 

This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing team.  In this role, you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured big data.

Key Responsibilities Include:

  • Enriching a wide range of structured and unstructured data into datasets for quantitative analysis
  • Enhancing data quality & integrity via a process orientated approach; developing validation tools to measure the effectiveness of data enrichment; taking full ownership of end-to-end data workflows
  • Becoming a domain expert on different fundamental datasets, analyzing & understanding the underlying dynamics and behaviours within the data
  • Communicating data-driven analysis and insights to the team
  • Developing the utility tools that can further automate the software development, testing and deployment workflow, that facilitate the team’s research efforts
  • Using your expertise to provide technical support for global researchers, including diagnosing root causes of technical problems and proposing solutions to developers

What You’ll Bring

  • At least 2 - 3 years of experience as a data scientist or data engineer
  • Practical experience with and theoretical understanding of algorithms for regression, clustering, and anomaly detection.
  • Demonstrated ability to implement data science pipelines and real-time applications in a general programming language such as Python and C++.
  • Experience with Linux/Unix shell and Git.
  • Excellent presentation and visualization skills using Jupyter Notebooks, Matplotlib, Seaborn, Plotly, Dash, Tableau etc.
  • Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field
  • Experience in a finance or investing related background preferred
  • Excellent communication skills; both written and oral English
  • Exceptional analytical & problem-solving abilities, with strong attention to detail
  • Motivated by a deep curiosity and passion to learn

Additional Preferred Experience

  • Working knowledge of deploying Python applications using Docker and Kubernetes
  • Working knowledge of Big Data tools such as Spark/PySpark or Dask.
  • Practical experience with time-series forecasting and analysis methods