Data Scientist

Year    Bangalore, Karnataka, India

Job Description


About Lowe'sLowes Companies, Inc. (NYSE: LOW) is a FORTUNE\xc2\xae 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowes India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowes customers. Lowes India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowes India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, .Job Summary
The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This role builds user interfaces from the direction of senior colleagues, and builds solutions using market research. Areas of focus are: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization.Qualifications
Minimum Qualifications

  • Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.)
OR
  • Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics
OR
  • Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
Also
  • Knowledge of SQL and various statistical modeling or machine learning techniques
Preferred Qualifications
  • Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
  • Experience in performing predictive analytics in a large scale enterprise
  • 2 years of experience in data science or advanced analytics in industry
  • SQL Experience
  • Programming experience (Python, Java, Scala, Rust, etc.)
  • Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)
Lowes is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under state or local law. Lowes wishes to maintain appropriate standards and integrity in meeting the requirements of the Information Technology Acts privacy provisions.Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

Lowe's

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Job Detail

  • Job Id
    JD3490394
  • 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