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Senior Data Specialist

Senior Data Specialist

360DigiTMG

5 - 7 years

7 - 9 Lacs

bengaluru

Posted:None| Platform:

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Skills Required

computer science customer analytics retail marketing analytical machine learning fmcg digital marketing sql data extraction python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Description:

This is an exciting opportunity to be a part of the team that develops foundational capabilities enabling Enhanced analytics and measurement, critical to shaping global digital adoption and experience strategies.

The incumbent will be part of the Customer Analytics team. He/she will be an individual contributor working on the customer analytics space as the primary responsibility. He/she would work with data to help their clients make better business decisions. Using techniques from a range of disciplines, he/she would analyze data to describe, predict, and improve business performance. Experience in any of the business domains: CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, would be beneficial.

Key Responsibilities:

Design and build scalable machine learning models to solve real-world business problems.
Translate business requirements into clear analytical solutions using data science techniques.
Write optimized SQL queries to extract, manipulate, and analyze large datasets.
Develop and deploy production-ready code using Python.
Collaborate with data engineers, product managers, and business stakeholders to build end-to-end data products.
Communicate complex findings in a clear, concise manner to non-technical stakeholders.
Continuously monitor and improve the performance of deployed models.
Mentor junior data scientists and review their code/models as needed.

Requirements/Skill sets:

Bachelor's or Master s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
5+ years of hands-on experience in data science, analytics, or machine learning.
Expert proficiency in Python, including libraries like pandas, scikit-learn, NumPy, etc.
Strong experience in SQL for data extraction and transformation.
Proven ability to build and evaluate supervised and unsupervised ML models.
Experience with model deployment, version control (e.g., Git), and working in cloud environments (AWS/GCP/Azure).
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.

Nice to Have:

AI frameworks to develop LLM-based solutions or Agentic solutions in Python.

Education and Experience:

Bachelors or Masters (5+7 Years) in Computer Science or MBA with Bachelor in technical.
Experience of 5 -7 Years in data analytics companies with exposure to data science/ business data warehousing & dashboarding , Computer Vision projects in either one or more of these domains: Retail, Ecommerce, FMCG industry.

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Senior Data Specialist