Data Sciences - Chennai, India - Gainwell Technologies LLC
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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