Data Sciences - Chennai, India - Gainwell Technologies LLC

Deepika Kaur

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Deepika Kaur

beBee Recuiter


Description

Summary:


Your role in our mission:


Essential Responsibilities:


  • Design, develop, test, validate, and deploy
    Predictive Analytics/Machine Learning (ML) /Statistical models as part of new product development and/or projects.
  • Work closely with senior data scientists and engineers to deploy models to production both in batch and realtime.
  • Build data sets from multiple data sources and write data flows using Python and R, SQL/Spark.
  • Use data visualization tools (e.g., Tableau, Kibana, Zeppelin) to share ongoing insights.
  • Present findings to technical audiences.
  • Stay uptodate on ML, Big Data technologies sharing learnings with the teams.

Knowledge, Skills, and Abilities:


  • Ability to translate business customer problems and questions into clear requirements for analysis.
  • Ability to write complex and efficient SQL code freehand from scratch.
  • Ability to wrangle and analyze data using Python or R.
  • Strong understanding of statistics and probability.
  • Proficient in Microsoft Power Point, Outlook and Word.
  • Ability to work under pressure while managing competing demands and deadlines.
  • Well organized with meticulous attention to detail.
  • Good understanding of Agile methodology.
  • Strong sense of ownership, urgency, and drive.
  • Exceptional problemsolving abilities with an understanding of statistical methods.
  • Excellent communication skills, both written and verbal, and especially the ability to communicate data clearly to clients.
  • Accuracy with work, strong organizational skills, attention to detail and the ability to multitask.
  • Experience with machine learning is a plus.

What we're looking for:


Minimum Related Work Experience:


  • 12 years of industry experience in
    Data Science/Machine Learning developing, testing, validating, and/or deploying ML models with business impact. Examples of models include, but are not limited, to Linear/Non-Linear/Logistic/Ridge regression, SVMs, NNs, Decision Trees, Ensemble modeling, Text Mining; exposure to Timeseries analysis and forecasting algorithms is a strong plus.
  • 12 year's handson, industry experience with
    big data and languages such as e

g SQL, Python, R, Scala:


  • 12 years' experience in
    data analysis using Relational Databases (e.g. Teradata, SQL Server) and SQL.
  • 1 year of experience with Hadoop and familiarity with Apache Spark.
  • Experience with one or more deep learning libraries (e.g., TensorFlow, PyTorch, Caffe) is a plus.
  • Experience implementing solutions in a cloud environment (AWS or Azure) is a plus.
  • Experience from working in Lean and Agile environments is a plus.
  • Experience working with healthcare data a strong plus.

What you should expect in this role:

  • WFH OR Hybrid Office environment.
  • Fast-Paced,Challenging and rewarding work environment.
  • Work life balance.
  • Will require late evening work to overlap US work hours.

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