mPokket

Data Scientist Senior Bengaluru

Job description

Data Scientist


As a Data Scientist, you will work as part of our Credit and Analytics Team with key stakeholders to leverage our data to drive operational efficiencies and provide key data-driven insights.


5 - 10 Years.


DATA SCIENTIST, ANALYTICS RESPONSIBILITIES

  • Ability to deal with ambiguity and competing objectives in a fast paced environment
  • Partner with Product and Operations teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • Work across the following four areas:
  • Product Operations:
  • Designing and evaluating experiments
  • Monitoring key product metrics, understanding root causes of changes in metrics
  • Building key data sets to empower operational and exploratory analysis
  • Evaluating and defining metrics
  • Exploratory Analysis:
  • Building models of user behaviour for analysis or to power production systems
  • Product Leadership:
  • Influencing product teams through presentation of data-based recommendations
  • Communicating state of business, experiment results, etc. to product teams
  • Spreading best practices to analytics and product teams
  • Data Infrastructure:
  • Working with databases such as MySQL, Big Query, Cockroach DB and MongoDB.
  • Automating analyses and authoring pipelines via SQL and Python-based ETL framework


Minimum Qualifications


  • Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field
  • Experience solving analytical problems using quantitative approaches
  • Experience communicating quantitative analysis results
  • Knowledge with relational databases and SQL
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Knowledge of statistics (e.g., hypothesis testing, regressions)
  • Experience manipulating data sets through statistical software (ex. R, SAS) or other methods


Preferred Qualifications

  • Experience working with distributed computing tools (MapReduce, Hadoop, Hive, etc.)
  • Experience working with large data sets
  • Experience manipulating and analysing high-volume, high-dimensionality data from varying sources

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