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2 Days ago

Senior Data Scientist

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Bangalore, Karnataka, India
Information Technology
Full-Time
bp

Overview

Company:** BP Business Solutions India Private Limited

Job Summary

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team at BP Business Solutions India Private Limited. This role is crucial for leveraging data-driven insights to solve complex business problems, optimize operations, and contribute to strategic decision-making across the organization.

Job Responsibilities

As a Senior Data Scientist, Your Responsibilities Will Include

  • **Data Strategy & Governance:** Contribute to the development and implementation of data strategy and governance frameworks to ensure data quality, integrity, and security.
  • **Data Sourcing & Integration:** Identify and acquire relevant internal and external data sources, and design and implement robust data integration processes.
  • **Data Cleansing & Transformation:** Perform comprehensive data cleansing, validation, and transformation activities to prepare data for analysis and modeling, including utilizing Extract, Transform, and Load (ETL) methodologies.
  • **Data Analysis & Modeling:** Conduct in-depth data analysis using various statistical and machine learning techniques to uncover trends, patterns, and actionable insights. Develop and deploy predictive and prescriptive models.
  • **Data Management & Manipulation:** Manage large datasets efficiently, including performing complex data manipulation to support analytical requirements.
  • **Data Visualization & Interpretation:** Create compelling and intuitive data visualizations to communicate complex analytical findings to diverse audiences, and clearly interpret the implications of the data.
  • **Commercial Acumen:** Apply strong commercial acumen to translate data insights into tangible business value and strategic recommendations.
  • **Communication & Collaboration:** Effectively communicate complex analytical results, methodologies, and recommendations to both technical and non-technical stakeholders, fostering cross-functional collaboration.
  • **Group Problem Solving:** Lead and participate in group problem-solving sessions, bringing data-driven perspectives to complex business challenges and contributing to innovative solutions.
  • **Digital Security:** Ensure all data handling and analytical processes adhere to established digital security protocols and best practices.
  • **Data Domain Knowledge:** Leverage strong domain knowledge to contextualize data, understand business requirements, and drive relevant analytical outcomes.

Job Qualifications

To be successful in this role, you will possess:

  • **Experience:** Proven experience as a Data Scientist, with a significant portion in a senior capacity, demonstrating a strong track record of delivering impactful data-driven solutions.
  • **Technical Skills:** Expert proficiency in data analysis, data cleansing and transformation, data manipulation, and the use of ETL tools. Strong understanding and practical application of statistical modeling and machine learning algorithms.
  • **Data Expertise:** In-depth knowledge of data sourcing, data integration, data management, and data strategy and governance principles.
  • **Visualization Tools:** Proficient in data visualization and interpretation tools (e.g., Tableau, Power BI, Python/R visualization libraries).
  • **Business Acumen:** Demonstrated commercial acumen with the ability to understand business needs and translate them into analytical problems and solutions.
  • **Communication:** Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • **Problem-Solving:** Strong analytical and group problem-solving skills, with a proactive and innovative approach.
  • **Domain Knowledge:** Solid understanding of relevant data domains and their application within a business context.
  • **Security Awareness:** A strong understanding of digital security best practices in data handling and analytics.
  • **Education:** A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
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