Assistant Manager/Data Scientist - Digital Manufacturing/FMCG

KEY ACCOUNTABILITIES:

Requirement Gathering and Project Management:

- Understand the business problem

- Project charter- Business context, Scope, Outcome & success criteria

- Identify area of the analysis - Data Science or Operations research model , (using the right technique for the right project)

- Understand data availability & analytical usage

- Work with the scrum master to put together the team, project time lines and user stories

Analytics Models design, development & Improve (40% of Time)

- Ideating and Executing improvement ideas to drive efficiency & standardization

- Historical data analysis

- Descriptive/Diagnostic/Predictive/Prescriptive Model design

- Effectively review and deploy results to stakeholders using effective visualizations. Working with other data analysts, data scientists and visualization analysts in the team to achieve the same

- Perform automated testing on the models

- Support bug fixes/enhancements on existing models

Output:

- Provide actionable insights to the stakeholders using the appropriate tools - effective presentations, visualizations.

- Sustain the models by effectively using DevOps/MLOps and necessary documentation

- Deployment and Sustained support for all the applications

Training / Knowledge:

- Mentor & train team members on data preparation, diagnostics, predictive analytics, R, Python and Manufacturing analytics

- Process standardization and documentation

- Working on Individual development plans

MINIMUM QUALIFICATIONS:

- Full Time graduation from an accredited university (Mandatory).

- 4 years of related experience

- Demonstrated high analytical mindset to lead and develop new analytical capabilities.

- Demonstrated high stakeholder engagement and ability to lead projects through collaborative efforts.

- High Problem-solving mindset

- Can work independently and take decisions without seeking help from Supervisor.

- Strong project management and organizational skills.

- Experience supporting and working with cross-functional teams in a dynamic environment.

- Analytics Experience - Descriptive, Diagnostic, Predictive and Prescriptive

- Programming Language - R, Python, Intermediate SQL

- Tools - Excel, Tableau/Power BI

- Understanding of Supply Chain/ Manufacturing

- Technical/Process Leadership

- Energizing & Develop People

- Learning Agility

- Problem Solving mindset

PREFERRED QUALIFICATIONS:

- Master's degree

- 5+ years of related experience

- Major Area of Study in any of the below

- Operations Research

- Masters in Analytics

- Mechanical/Industrial/Production Engg

- Statistics

- Experience working on DevOps/MLOps, Git & GCP.

This role is in the Digital Manufacturing analytics team that supports the Manufacturing and Engineering teams by developing advanced analytics solutions to identify and analyze opportunities corresponding to manufacturing performance, HMM, human safety and food safety. The primary responsibilities of this job are to develop innovative solutions by leveraging analytics techniques like descriptive, diagnostic, predictive and prescriptive modeling, statistical analysis and operations research techniques. This is an individual contributor role that includes project lead responsibilities, stakeholder management, project management, coaching and mentoring the analysts in the team.

The individual needs to have a strong problem solving mindset. The kinds of problem statements that we get in this role need strong analytical knowledge, understanding the various manufacturing and plant floor problems and developing sustainable solutions for the same. Choosing the right technique for the right problem is critically important. The solution base may range from descriptive, diagnostic, predictive & prescriptive analytics. Hence, and indepth understanding of various analytics methods is necessary and along with an end to end solutioning mindset.