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Lead Data Scientist

Lead Data Scientist

HikahoPune
13 days ago
Job description

Job Purpose :

  • Responsible for driving the data transformation journey at DFPCL (CNB).
  • Developing the data strategic roadmap aligned with business needs by simplifying, digitalizing, and automating our processes.
  • Enhancing data strategy with more insight and agility. Building new data led business models
  • Developing a data-driven culture across the business.
  • Partner with the operational team and other leaders and cross functional teams to collaborate on providing holistic data and advanced analytics solutions that enable and enrich long-term business strategy, realize value, and ultimately transform ways of working

Bring value to business by creating Data blueprint to focus on envisioned CNB strategy and its goals

Key Accountabilities & Outcomes :

1) Analyse and prioritize business goals :

  • Engage with leadership to align on strategic data, advanced analytics and transformation initiatives.
  • Develop, deliver and manage 35 year strategic roadmap for CNB Data and Advanced Analytics; with strategic, tactical and operational considerations
  • Define data led business objectives and goals, developing business cases, identify process improvement opportunities, evaluate current and emerging data landscape, communicate new data capabilities to business stakeholders.

    • 2) Data Analytics Trends & Proposals; organization capabilities :

  • Identify Data / Advanced Analytics trends in fertilizers and adjacent industry along the value chain Create innovative proposals to address, business needs in alignment with business requirements
  • Work closely with cross functional teams to propose services, solutions / platforms and products against business needs both identified and unidentified
  • Build a data and advanced analytics platform and data services for implementing the vision, goals and objectives of business; which can be later replicated across the organization
  • Identify, negotiate, contract, and manage external vendor partners, ensuring value is delivered to the organization.
  • Build relevant organization capabilities with internal and external partnerships and resources to deliver the business strategy and goals

    • 3) Data / Advanced Analytics :

  • Design and deliver an effective and sustainable data / advanced analytics operating model to deliver value to the organization.
  • Deliver advanced / forward thinking proof of concepts which can be scalable and implemented across the entire organization
  • Design, implement and manage complete Data lifecycle management
  • Lead teams to deliver Data / Advanced Analytics projects from end to end using an agile approach, from discovery to implementation.
  • Identify use cases from data that can address business needs.
  • Clearly communicate platform / product / services vision, solutions, and use cases documentation, design sketches / wireframes, interaction flows, prototypes, and visuals
  • Establish the Data / Advanced Analytics organization as an internal service provider to various functional and cross functional teams to achieve business goals and objectives with data / data lead ways of working

    • 4) Partnership & Alliances :

  • Identify ecosystem and network of external partners to meet business objectives
  • Connect / network with external partners / open innovation ecosystem

    • Education Qualifications / Background :

  • Masters / Bachelors in Computer Sciences / Statistics / Data Science
  • MBA in Data / Analytics (Preferred)

    • Relevant and Total Years of Experience :

  • 18+ years of experience in delivering data and Advanced analytics solutions to address business needs
  • Minimum 8 years experience of working in a data environment as a data science Functional Expertise :
  • Knowledge and experience with scripting languages, preferably Python, R, Node.js, Shell Script.
  • Experience with record linkage, consolidation and householding in relational databases.
  • In-depth knowledge of ETL / interoperability processes and workflows.
  • Project management / systems development life cycle skills including scope and issue management,

    • schedule management, and deliverable oriented delivery.

  • Deep understanding of data governance and how it works in relation to other organizational governance structures.
  • Highly experienced at producing data models and understand where to use different types of data models and understand industry-recognized data-modelling patterns and standards.
  • Deep knowledge in Advanced analytics and dashboarding tools.
  • Highly experienced at using a range of data analysis tools, including open source, to visualize data to tell compelling and actionable stories relevant to business goals.
  • Able to present, communicate and disseminate data appropriately and with high impact.
  • Strong mathematical, statistical and data analysis skills and recognized as a specialist and thought leader in these areas
  • Able to work independently to deliver business priorities and manage workload within an agile, fast paced, dynamic operating environment.
  • Understanding of agile leadership approaches and service design and system thinking methodologies.
  • Good business and commercial acumen, able to understand the value of own role with the organization, able to demonstrate project and budgetary management and an understanding of external factors impacting the organization

    • (ref : hirist.tech)

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