Lead Data Scientist
- Digyug HR
- 8 to 12 Yrs
- karnataka
- 4 months ago
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Job Description
- Responsibilities Leverage data science and machine learning technology to build algorithms, statistical models and analytical solutions Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes Build ETL pipelines in PySpark/Python that process transaction and account level data and standardize data fields across various data sources Organize and manage multiple data science projects with diverse cross-functional stakeholders Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools. Design & implement interactive dashboards and reports. Build visualizations of data model performance and results. Actively engage, network, collaborate with internal teams to deliver data driven solutions. Provide technical leadership in a team that generates business insights based on applied analytics. Identify actionable recommendations. Communicate the findings to business seniors. Pre-Requisites for candidates 10+ years of work experience with a Bachelors Degree or 8+ years of work experience with an Advanced degree (e.g. MTech, MSc, MBA) or 7+ years of work experience with a PhD degree (Preferred) Masters degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research. 8+ years of experience in data-based decision-making, quantitative analysis, & experience applying data science to solve problems such as new customer acquisition, attrition management and product mix models Expertise in the following activities: Large scale data mining, data cleansing, diagnostics, preparation for Modeling. Predictive modeling and machine learning. Multivariate techniques & predictive modeling cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis. Building data analytics models using Python, ML libraries, Jupyter/Anaconda. Exploring data & writing analytics algorithms in Python. Working knowledge of MS Azure Suite - Azure ML Studio, Azure Data Factory, Power BI/Power Apps Experience leading other data scientists in machine learning projects Strong verbal, writing & presentation skills Experienced in handling multi-national projects and team engagements (Preferred) Application of data analytics to manufacturing industries or chemical industries Our Commitment to Diversity and Inclusion ,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Lead Data Scientist
Contact Details:
Company: EcolabLocation(s): Karnataka
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Keyskills: Python Data Science Machine Learning Predictive Modeling Statistical Modeling Data Visualization Business Insights Quantitative Analysis Data Cleansing Cluster Analysis Regression Analysis Power BI Analytical Solutions
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