Responsibilities

Develop novel ways to help business partners achieve objectives through analysis & modelling
• Think outside the box to identify & test new sources of information that unlock new business value
• Recommend business solutions on the allocated project / analytic initiatives / POC
• Curate and connect external data sets for broad enterprise-wide analytic usage
• Be a storyteller to explain the ‘why & how’ of your data driven recommendations to cross-functional teams
• Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results
• Utilize machine learning to create repeatable, dynamic & scalable models
• Have passion to advocate and educate on the value and importance of data driven decision making & analytical methods
• Identify and develop long-term data science processes, frameworks, tools, and standards
• Be a part of the team, collaborate, ask questions, engage and solicit feedback from other Data Scientists
Consultation
• Collaborates with technical teams like development and infrastructure.
• Able to explore, troubleshoot on niche technologies and provide automation solutions
• Experienced in proposing ROI based solutions to business
Leadership
• Mentors capstone/intern projects and connects with external institutes/analytic schools
• Lead selection of right Jr candidates for the team

Qualifications

Education
Minimum Degree Requirements: Bachelors
Preferred Major Area of Study Computer Information / Computer Science
Min Preferred Professional Certifications Data Science / Mathematics / Statistics

Experience

Minimum years of related experience required: 3 years
Preferred years of experience: 5 years

Specific Job Experience or Skills Needed
Experience in basic statistical analysis, modelling, clustering and data mining techniques to identify trends and insights. Understanding / experience of CPG industry is desiable.
Mathematical or statistical background required
• Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)
• Understanding of data warehousing & databases is critical
• Number sense, ability to identify questionable data, dig in & address it
• Experience with Hadoop, Hive, and/or Spark a plus
• Bias for action with ability to deliver outstanding results through task prioritization & time management
• Exemplary organizational skills with attention to detail & accuracy
• Experience with machine learning
• Experience with data visualization tools
• Experience writing complex SQL queries