Decision Scientist

• Expertise in P ython, SQL & advanced analytics/Statistics Techniques such as general linear model etc

• Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

RESPONSIBILITIES:

• Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.

• Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

• Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence.

• Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches

• Firm building: Contribute to firm growth by participating and conducting training sessions.

• Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management

QUALIFICATIONS:

P REFERRED QUALIFICATIONS :

• The overall experience of Minimum 5 .6 to 10 years with at least 3 to 8 years of hands-on experience in running analytics projects

• Expert-level proficiency in statistical/ML predictive techniques such as regression

• Project Management, Stakeholder Management, Crisis handling

• People grooming (good team player and a leader who identifies and creates synergy in a group)

• Expertise in Python plus SQL & advanced analytics/Statistics Techniques such as general linear model, etc.

• Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management

• Team handling, Problem-solving, Project management, and communication skills and Creative thinking

P REFERRED QUALIFICATIONS :

• Good problem solving & insight generation skills

• Excellent communication skills with technical and non-technical stakeholders

EDUCATION:

B.E/ B.Tech / M.Tech in Computer Science or related technical degree OR Equivalent