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

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.

Certifications

Certifications on programming languages like R, Python or data science-related tools like  SQL, Tableau, D3 is a plus