Reporting Structure | Reports to the Project Manager |
Education | Bachelor’s or Master’s Degree in MBA/ Engineering / Statistics/Maths , PhD preferred |
Experience/ Qualifications | Minimum of 10 years of total experience with at least 5+ years in Data Analytics and/or Machine Learning in one or all of the following skills - Data Science: Regression, Classification, Clustering, PCA etc. using Python & SPSS.
- Market Research: Statistics, Experiments, Hypothesis Testing & Multivariate Analysis
- Digital Marketing: SEO, Google Analytics, Social Media, Facebook Marketing, YouTube etc
- TECHNICAL SKILLS: Python, SQL, R, Hadoop, Hive, Hue, Scoop, Tableau, SPSS, Spark & Scala
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Industry | Preferably from a Technology, ITES, Shared Services or Banking organization |
Responsibilities | - To develop solutions by applying ML and other statistical approaches to generate insights on structured and unstructured data
- To provide ML expertise in the design and delivery of data products for broad consumption by business partners
- To mentor and support the training of technical and non-technical teams in data science and machine learning
- To participate in the broader data science community to stay current with methodology, software, and data development and availability
- To communicate and visualize the output of analyses, including both written and verbal communication, to business leaders and non-technical audiences
- To conceptualize and deploy data science solutions for business questions
- To bring an entrepreneurial mind set, openness, transparency, and collegiality to your everyday work
- To remain current with emerging technologies, best practices, and industry trends.
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Certifications | Certifications on programming languages like R, Python or data science-related tools like SQL, Tableau, D3 is a plus |
