Lead Data Scientist

Year    Bangalore, Karnataka, India

Job Description


FIRM PROFILE Since its inception in 1963, BCG has been at the forefront of business management. Many of our ideas and concepts - such as time-based competition, the growth/share matrix, capabilities-based competition, and the experience curve - have had such a fundamental impact on the success of corporations that they have become central to the business lexicon. BCG continues to lead the way on issues at the vanguard of management thinking and practice, such as global advantage, value management, sustainability, and networks. We take pride in seeing our ideas successfully implemented. Many of our deepest client relationships have been with companies that transformed their industries. This tradition of transforming businesses and industries continues to motivate us today. POSITION PROFILE: We are seeking a strong candidate with significant advanced analytics experience to fill an exciting Lead Data Scientist (LDS) position within BCG X. The LDS is expected to be recognized expert in data science and will manage a team of data scientists to build innovative new products and analytics solutions. A LDS must show they can frame problems in a way that analytics team members can then execute to drive impact and results. Exceptional candidates will also show strong curiosity, going beyond the immediate case requirements to understand the fundamental drivers of advantage and look for clues that may change the basis of competition. The LDS will be involved in all aspects of advanced analytics, from helping to create relevant products and service offerings by working with priority global Practice Areas, to leading and executing analytics work and continuing to expand the analytical foundation and competitive value proposition. Strong LDS candidates will be a thought leader in analytics methodologies and technologies - they will be instrumental members of the team for designing and building new products. In client contexts, LDS need to provide senior analytics project management oversight for large-scale efforts, including managing of external relationships and project budgets / timelines. As the senior person from BCG X most frequently at the client site, the LDS is responsible for a large portion of client relationship management for the analytics effort. He/she will need to interact with client counterpart\'s day- to-day to ensure expectations are aligned and that in-progress analysis and findings are tested. Where findings are controversial, a key role of the LDS is to socialize the analysis and findings so that clients and members of the wider BCG team have the time to ask questions and identify issues prior to the formal presentation of findings. LDS is expected to provide mentoring to analytics team members on both a formal and informal basis. Feedback and suggestions for development can occur at any time during a project. That said, each project starts with a formal identification of analytics team member development needs and an action plan for achieving them. Progress against this plan should be checked on a regular basis with specific, actionable feedback provided at frequent, regular intervals. LDS do not have specific business development metrics. However, it is expected that they will show increasing ability to identify, document and capitalize on commercial opportunities for future work whether at current clients or new clients. JOB REQUIREMENTS: 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 LDS 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. 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 building Generative AI solutions ranging from experience with transformer models, building & deploying NLP, NLU models across various industry use cases CX, Marketing & customer DNA creation. Experience with handling unstructured data in pre-ingestion & ingestion stages. Experience with vectorizing and storing vector data. Good to have experience of using LLM to train and fine-tune specific models for industry use cases across text & image generation. Good to have experience of integrating AI models with conversational bots and other real time use cases. 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, 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 modelling 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. The LDS 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. Engagement Management and Work with Case Teams: The successful candidate will have demonstrated ability to manage engagements, client relationships, provide \'thought leadership\' to teams and able to act as a full member of a BCG project team. They must own analytical modules from work planning to creating impact. He/she must scope, manage and lead work for data science teams, providing expertise on methodology of advanced analytics. Strong presence, strong collaborator and leadership skills and ability to operate effectively in a matrix organization are a must. Client Relationship Management: 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). Strong business focus with experience with 80/20 approaches. 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 junior data scientists 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. WORK ENVIRONMENT: 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

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Job Detail

  • Job Id
    JD3162899
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year