Responsibilities & Key Deliverables
‘Senior Data Scienstist:
a) Use predictive modeling to increase and optimize customer experiences, revenue generation, campaign optimization and other business outcomes
b) Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing
c) Expertise in advanced machine learning techniques such as Clustering, Regression/Classification, Bayesian optimization, Neural Network, Topic Modeling , Nonparametric Methods, Multivariate Statistics, K-NN, Naïve Bayes, SVM, Time Series Analysis, Random forest, Popular Deep Learning architectures and theory, simulation, scenario analysis, constraint optimization, anomaly detection, semi-supervised machine learning, unsupervised learning algorithms using deep learning etc.
d) Experience with some optimization techniques (Linear Programming, Genetic Algorithm, Sim. Annealing, MC Simulation)
e) End-to-end execution of the data science process, from understanding business requirements, data discovery and extraction, model development and evaluation
Managing and Driving Data Maturity:
a) Working closely with Auto Digital Centre to create seamless data lakes across the breadth of the organisation and
b) Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.
c) Assess the efficiency of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets.
d) Experience using statistical computer languages (R, Python, SAS) and database query language- SQL/NoSQL to manipulate data and draw insights from large data sets
e) Experience with working on big data platforms – Spark/Hadoop and cloud based analytics pltaforms from Google/AWS/Azure
Business Engagement:
a) Ability to interpret complex business requirements and translating them into analytical problems to deliver high value outputs
b) Solid background in the fundamentals of formulation of problem statement, system modeling and machine learning for solving the business problems
c) Client expectation Management, Project Scope, Delivery and Risk management
Driving analytics & Insighting Maturity:
a) Communication of insights that can guide actionable results through impactful insighting, story telling, data visualisation
b) Working closely with the businesses to identify and solve problems using internal and external (consumer) data, across sales, marketing, product planning, strategy, and other functions in divisions in AFS
c) Cost savings identification through focused interventions on enhancing the algorithms and data maturity through different analytics tools & build strong engagement, analytical rigor and governance framework to deliver results.
Preferred Industries
Education Qualification
Bachelors in Statistics/ Engineering + Masters in Statistics / Data Sciences / Information Management / Computer Science or MBA (Tier 1 Institutes)
General Experience
’10-12 years of work experience post Masters. Must in the area of advanced analytics, machine leraning and artificial intelligene.
1. Expert in data science and modelling techniques- Posesses a deep understanding of how these can be leveraged to solve business problems
2. Handson R, Python, SQL , R Shiny/Dash and Knowledge of Qlikview/QlikSense/Tableau, SAS etc.
3. Cross- functional knowledge of domains like sales and marketing, product planning and services in Automotive and Consumer Durables Industry
4. Interpersonal working skills (Stakeholder Management essential)
5. Project management and team management through SCRUM/AGILE
Behavioural Traits
‘1. Appreciation to learn new domains and areas where problems come in.
2. Strong leadership skills including effective communication skills
3. Ability to work in unstructured environment and build sense around it
4. Ability to work independently and in a team, take initiative and lead engagements as required
5. Coach and Build Team of high performance team
Critical Experience
Experience in formulation of Long term Strategy for large businesses.Exposure to identifying and evaluating new business opportunities.Experience in leading Project Management.Exposure to financial analysis and competition analysis
Mahindra Leadership Competencies
Strategic Business Orientation_Business Perspective
Strategic Business Orientation_Anticipating and Leveraging Business Opportunities
Strategic Business Orientation_Strategic Foresight
Strategic Business Orientation_Global mind-set
Leadership through Sustainability_Strategize around,Sustainability Drivers
Leadership through Sustainability_Frugal mind set
Leadership through Sustainability_Stakeholder focus
Leadership through Sustainability_Triple Bottom Line Sensitivity
Customer Focus_Customer Sensitivity
Customer Focus_Customer Delight
Customer Focus_Service Orientation
Innovation Led Transformation _Idea Orientation
Innovation Led Transformation _Change catalyst
Innovation Led Transformation _Risk Taking with Responsibility
Result Orientation with Execution Excellence_Effective Project Management
Result Orientation with Execution Excellence_Passion for Quality
Result Orientation with Execution Excellence_Accountability for results
Result Orientation with Execution Excellence_Agility with discipline
Leveraging Human Capital_Exponential synergy
Leveraging Human Capital_Team development
Leveraging Human Capital_Entrepreneurial engagement
Leveraging Human Capital_Appreciating diversity
Weaving Passion and Energy at Work_Being Passionate about work
Weaving Passion and Energy at Work_Working without Barriers
Weaving Passion and Energy at Work_Blending Fun with work
Weaving Passion and Energy at Work_Learning from Failures
System Generated Core Skills
Analytics
Leadership Skills
Microsoft Office
Relationship Management
Stakeholder Management
System Generated Secondary Skills
Communication Skills
Interpersonal Skills
Project Management
Presentation Skills
Job Segment: Engineer, Engineering, Automotive
