Wrangler
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Recruiting for Data Wrangler
Employment Type : Permanent
- Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning.
- Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information. Validates findings using experimental and iterative approaches.
- This role works closely with functional analytics teams and performs statistical analysis of low to moderately complex data from a multiple data source.
Required
- Strong knowledge in one or many of statistical modelling, machine learning, forecasting techniques
- Experience in programming languages like Python
- Experience in visualization tools like Tableau or Power BI
- Knowledge in data handling and engineering
- Strong Analytical and research skills - expertise to understand and solve complex problems
- Good communication skills
- Knowledge on data lake, MLOps, AWS is a plus
- proficiency in python and R
- Desired
- Data analytics/Data Science experience. - 4 - 8 years
- Previous experience in data science building analytical models using statistical techniques, machine learning. - 3 - 6 years
- Proven experience in deploying analytical models in production. - 1 - 3 years
Education
- Degree in an Information Technology/Math/Statistics discipline or equivalent experience. - University Degree (4 years or equivalent)