GAMMA Associate Director, Data Science

Job Description

KEY COMPETENCIES:

• Deep Technical and Data Science Expertise: The successful candidate will have a wealth of experience with applying advanced analytics to a variety of business situations, such that they can efficiently and effectively advise multiple teams on the best path to uncovering critical insights for clients.
• Experience in core analytics methods (one or more of the following): Statistics (t-tests, ANOVA), variable reduction (FA, PCA), Segmentation/clustering techniques , Geographic cluster recognition and manipulation techniques, Predictive modeling: e.g. logistic regression, linear regression, Network analysis (location-allocation, travelling sales person, vehicle routing problem), Time series analysis: e.g. ARIMA, VAR, etc., Machine learning: e.g. LCA, Random Forest, neural networks, Spatio-temporal analysis, Time series analysis (ARIMA, VAR, etc.), Text mining unstructured data analytics, Simulation: e.g. MC, dynamic, discrete event, Optimization: e.g. linear programming, heuristic
• Familiarity with a broad base of analytics tools (one or more of the following): Data management: e.g. Excel, SQL, PostGRESql, Hadoop/Hive, Alteryx, Analytics platforms: e.g. SAS, R, RapidMiner, SPSS, Data visualization: e.g. Tableau, GIS toolkits (ESRI, Quantum GIS, MapInfo or similar), ESRI Network Analyst, RouteSmart, RoadNet or similar, GPS data analysis a plus, Programming and/or scripting experience: e.g. Python, C#, VBA, Java, Perl, etc.
• Experience in applied analytics for business problem solving : Eg. Extensive experience building analytical solutions for (one or more of the following), Pricing and promotional effectiveness, Delivery fleet consolidation, Loyalty program effectiveness, Network real estate reorganization, Customer segmentation and targeting, Delivery footprint/territory expansion (or reduction), Customer LTV maximization, Cost modeling of transportation logistics operations, Churn prevention, Strong project management skills, Others a plus
• Analytical and Conceptual thinking : A successful candidate will be able to conceptualize business problems and drive frameworks for analysis that consultants can then follow. Principals will produce leading edge business models and must be able to work in a hypothesis-based environment where inductive rather than deductive thinking is the norm. Strong business focus with experience with 80/20 approaches.
• Engagement Management and Team Leadership : The successful candidate will have demonstrated ability to manage engagements, client relationships, provide thought leadership to teams, and ultimately be responsible for the quality of engagements. They must lead project teams in the design and development of innovative long-term business strategies for clients that maximize shareholder value. This individual will supervise junior consultants as engagements are executed, but must have the ability to do the work as well. Strong presence, strong collaborator and leadership skills and ability to operate effectively in a matrix organization are a must.
• Client Relationship Management: The successful candidate will have a business focus and a solid track record of developing strong client relationships with large organizations. The candidate with have a demonstrated ability to communicate effectively and professionally with clients, delivering impactful solutions and presenting work in a concise and thoughtful manner, while demonstrating technical expertise (fluency in English is required). Also, begin deepening those relationships to think longer-term about growing BCG s presence at these existing clients.
• Analytics Innovation: Must be an autonomous self starter with a passion for analytics and problem solving. He/she will help build new Analytics service offerings that grow our portfolio of products and will captures proprietary content as well as analytics insights to the knowledge infrastructure. The candidate will support the creation of proposal/selling documents and provide perspective on relevant Analytics value propositions.
• Personnel Development: The successful candidate will have demonstrated ability to guide consultants in their consulting skill sets, motivate them, and build the company s foundation for future growth. This will take place in both formal and ad-hoc settings.

• 9 years of relevant industry work experience providing advanced analytics solutions, or 7 years consulting experience
• PhD or advanced degree required in a field linked to business analytics, statistics or geo- statistics, operations research, geography, applied mathematics, computer science, engineering, or related field
• The prospective AD will fit into the company s team-oriented, relationship-based culture, and will feel comfortable reaching out to other members of the community both for integration with the firm and execution of client business.
• Strong record of professional accomplishment and leadership.
• Demonstrated ability to lead and manage projects and teams.
• Proven ability to drive topics and make a commercial impact.

• Fast-paced, intellectually intense, service- oriented environment
• Position is located in either Chennai, Mumbai, Delhi-NCR or Bengaluru
• Expect up to 40 - 75% of time spent traveling

Keyskills :
financeadvisorycompliancereportingcustomer relationstime series analysistext miningtime seriesquantum gisdata sciencedata analysisproject teamsdata analyticsdata managementproblem solvingneural networksvehicle routingteam leadershipcompu