Job Title: Senior Data Scientist
Salary: Rs 26,00,000 per year
Location: Pune, Maharashtra
Company: Mastercard
Qualification: Graduate
Experience : 3-5 years of experience
ABOUT MASTERCARD
Mastercard is a worldwide monetary offerings business enterprise based in 1966, headquartered in Purchase, New York. It operates an extensive community facilitating electronic bills the world over. Mastercard’s middle commercial enterprise includes processing bills for credit score, debit, and prepaid playing cards, allowing stable and green transactions between customers, traders, and economic establishments. The agency’s undertaking is to build a greater inclusive digital economic system by using leveraging innovative technology.
Mastercard is known for its commitment to protection, presenting superior fraud safety and digital charge answers. It additionally specializes in economic literacy and sustainability, working to enhance monetary possibilities and environmental obligation. Through partnerships and strategic investments, Mastercard keeps evolving, adapting to the dynamic wishes of the global market and striving to form the future of payments.
Job Overview
A Senior Data Scientist leads superior analytics initiatives to derive actionable insights from complicated statistics sets. This function consists of designing and implementing gadgets studying fashions, utilizing statistical strategies, and managing large records infrastructure. Responsibilities consist of guiding junior records scientists, taking part with past-practical groups to clear up company problems, and speaking findings to stakeholders. Deep knowledge of algorithms, facts manipulation, and software gear is critical, collectively with robust trouble-fixing competencies and the functionality to translate information insights into strategic choices. Advanced stages and significant experience in information technological expertise are typically required.
Responsibilities of a Senior Data Scientist:
- Data Analysis and Modeling: Design, expand, and locate into impact advanced statistical models and gadget learning algorithms to investigate big datasets, find out tendencies, and offer actionable insights that pressure enterprise alternatives.
- Data Management: Oversee the collection, cleansing, and validation of records from several properties. Ensure data integrity, accuracy, and consistency at some point of systems and systems.
- Collaborative Projects: Work closely with bypass-useful teams, together with engineers, product managers, and agency analysts, to choose out key commercial enterprise traumatic conditions and provide facts-pushed answers. Translate complicated statistics insights into easy tips for stakeholders.
- Strategy Development: Develop and refine statistics strategies that align with industrial agency goals. Create and preserve dashboards, reviews, and visualizations to show popular usual performance and tune improvement in opposition to desires.
- Mentorship and Leadership: Lead and mentor junior information scientists and analysts. Guide exceptional practices, methodologies, and professional development.(Senior Data Scientist)
- Research and Innovation: Stay abreast of industry trends, rising technologies, and upgrades in information technological know-how. Evaluate and combine new gear and techniques to decorate analytical skills and business enterprise outcomes.
- Communication: Present findings and hints to senior leadership and other stakeholders. Ensure complex technical standards are communicated successfully to non-technical audiences.
- Quality Assurance: Implement and oversee procedures to ensure the accuracy and reliability of facts fashions and analytics. Conduct ordinary audits and validation of records strategies.
Qualifications of a Senior Data Scientist:
- Education: Advanced diploma (Master’s or Ph.D.) in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- Experience: Extensive revel in (normally five years) records technology or an associated problem, with a confirmed tune record of delivering actionable insights and foremost complex tasks.
- Technical Skills: Proficiency in programming languages consisting of Python or R, and information in device learning libraries (e.g., TensorFlow, sci-kit-examine). Strong revel in statistics manipulation and evaluation equipment (e.g., SQL, Hadoop, Spark).
- Statistical Knowledge: Deep statistics of statistical strategies, fact mining, and predictive modeling techniques.
- Analytical Skills: Strong hassle-fixing skills, with a revel in interpreting complicated statistics gadgets and deriving significant conclusions.(Senior Data Scientist)
- Communication: Excellent verbal and written communication competencies, with the capability to deliver complicated technical statistics to several audiences.
- Leadership: Demonstrated ability to steer and mentor a group, control projects, and strengthen strategic duties.
- Business Acumen: Strong know-how of organization strategies and the capability to align records assessment with organizational dreams and techniques.
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