Walmart Hiring Senior, Data Scientist Job| Apply Right Now

Job Title: Senior, Data Scientist

Salary : ₹27,00,000 per year

Location: Bengaluru

Company: Walmart

Qualifications: Bachelors 

Experience: 7 – 12 years

ABOUT WALMART

Walmart, primarily based in 1962 by way of manner of Sam Walton, is one of the world’s biggest retail agencies, acknowledged for its expansive community of hypermarkets, reduced-price department stores, and grocery shops. Headquartered in Bentonville, Arkansas, Walmart operates over 10,000 shops globally, serving tens of millions of clients day by day. The business enterprise emphasizes low fees and high quantity income, often leveraging its period for bulk purchasing benefits.

Walmart’s commercial agency version includes a robust e-commerce presence, collectively with Walmart.Com and its acquisition of Jet.Com. It also invests in sustainability and community initiatives, aiming to lessen its environmental footprint and help local economies. Walmart’s achievement stems from its capability to conform to converting marketplace situations and client possibilities whilst retaining its willpower to affordability.

Job Overview

As a Senior Data Scientist, you’ll lead facts-pushed tasks and increase superior analytical fashions to resolve complicated business issues. Your function entails designing experiments, dealing with large datasets, and making use of statistical methods to extract actionable insights. You’ll collaborate with move-practical teams to power strategic choice-making and optimize strategies. Your understanding of machine mastering, facts visualization, and programming might be vital for growing predictive fashions and enhancing enterprise performance. Ultimately, you’ll contribute to shaping the employer’s facts approach and advancing its competitive part.

Requirements and Skills For Senior, Data Scientist:

Educational Background:

• A Master’s or Ph.D. In Data Science, Statistics, Computer Science, Mathematics, or a related subject is commonly required. Advanced ranges are often desired because of the complicated nature of the role.

Professional Experience:

• A minimum of 5-7 years of experience in facts science or an associated discipline is important. Experience should encompass running on big-scale information projects, developing predictive models, and imposing machine-study algorithms.

Technical Skills:

• Programming Languages: Proficiency in languages such as Python, R, or SQL is vital. Knowledge of different programming languages like Java or Scala can be useful.
• Machine Learning: Extensive experience with device studying frameworks (e.g., TensorFlow, scikit-examine, PyTorch) and solid information on numerous algorithms and their applications. (Senior, Data Scientist)
• Statistical Analysis: Strong basis in statistical methods and their realistic applications in statistics evaluation.
• Data Visualization: Ability to apply equipment like Tableau, Power BI, or Matplotlib to create clear and insightful visualizations that communicate complex information findings effectively.
• Programming Languages: Proficiency in languages such as Python, R, or SQL is vital. Knowledge of different programming languages like Java or Scala can be useful.
• Statistical Analysis: Strong basis in statistical methods and their realistic applications in statistics evaluation.

Analytical Skills:

• Proficient in deciphering complicated facts, identifying tendencies, and making information-pushed decisions. The ability to translate commercial enterprise issues into analytical answers and vice versa is critical.

Project Management:

• Experience in main information technological know-how tasks from theory to implementation. This includes defining assignment scopes, dealing with timelines, and coordinating with stakeholders across numerous departments.

Communication Skills:

• Excellent verbal and written conversation abilties are necessary for presenting findings to non-technical stakeholders and taking part in useful groups. The ability to sincerely articulate complex concepts and insights is important. (Senior, Data Scientist)

Business Acumen:

• Understanding of business operations and strategy to align records technological know-how projects with organizational dreams. Experience in industries relevant to the company may be nice.

Soft Skills:

• Strong problem-solving abilities, an interest in detail, and a proactive mindset are critical. The capability to paint independently and as a part of a crew, coupled with a commitment to continuous learning and expert improvement, will contribute to the achievement of this function.

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