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Senior Data Scientist - Retail Forecasting

5-8 years

₹ 24 - 31L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

1 vacancy

Senior Data Scientist - Retail Forecasting

Lowe's

posted 4hr ago

Job Role Insights

Flexible timing

Job Description

The primary purpose of this role is to focus on developing and deploying advanced statistical models and machine learning techniques to accurately predict future trends, behaviors, and outcomes based on historical data. This position combines deep expertise in data science with a specialized focus on time series analysis, demand forecasting and predictive analytics to support business decision-making, optimize operations, and drive planning.
 
Roles Responsibilities:
  • Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy.
  • With focus on AI/ML techniques, build and deploy state of the art predictive models for use cases like item location level demand forecast, inventory and capacity planning, network flows, labor scheduling supply chain optimization
  • Responsible for extracting actionable insights from large and complex datasets, developing predictive models, and guiding the organization in using data to improve products, services, and operations
  • Collaborate with analysts, data engineers, product managers, other data scientist leadership to translate business requirements into actionable data science solutions.
  • Championing best practices and consistently working to enhance our production pipelines to improve reliability, scalability, and efficiency in terms of both time and memory.
  • Research and stay abreast of state-of-the-art machine learning technologies.
Years of Experience:
  • 5-8 years experience in Data science.
Required Minimum Qualifications:
  • Bachelors/Masters degree in engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
Skill Set Required
  • Familiar with forecasting algorithms, such as Time Series (Arima, Prophet), ML (GLM, GBDT, XgBoost), Hierarchical model (Top Down, Bottom Up), DL (Seq2Seq, Transformer), and Ensemble methods.
  • Hand-on experience (real-time) in building end-to-end ML models and pipelines.
  • SQL Python Spark, Py Spark
  • Big Data systems - Hadoop Ecosystem (HDFS, Hive, MapReduce) or Cloud
  • MLflow, Kubeflow, GCP Vertex AI, Databricks or equivalents.
  • Analytics database like Druid, Data visualization/exploration tools like Superset.
  • CI\CD GIT
Secondary Skills (desired)
  • Apache Airflow, Apache Oozie, Nifi
  • GCP cloud experience, Big Query
  • Trino/Presto
  • Domain experience on retail forecasting or any other business forecast predictions/time series forecasting.

Employment Type: Full Time, Permanent

Read full job description

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What people at Lowe's are saying

2.9
 Rating based on 5 Senior Data Scientist reviews

Likes

I like the work culture

  • Salary - Good
  • +2 more
Dislikes

I dislike the growth opportunities

  • Promotions - Poor
  • +1 more
Read 5 Senior Data Scientist reviews

Senior Data Scientist salary at Lowe's

reported by 23 employees with 5-10 years exp.
₹18 L/yr - ₹44 L/yr
15% more than the average Senior Data Scientist Salary in India
View more details

What Lowe's employees are saying about work life

based on 788 employees
80%
92%
81%
93%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Lowe's Benefits

Work From Home
Free Food
Cafeteria
Health Insurance
Team Outings
Gymnasium +6 more
View more benefits

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