Trainee,Advanced Analytics

Saks OFF 5TH; India; On-site; INR 223,000 - 446,000; Full time

Benefits offered by this job

Medical, dental, and vision

Employee discount

Flexible work environment

Career advancement opportunities

Job summary

Saks OFF 5TH India invites a Data Science Intern to join the marketing analytics team. The role emphasizes Python, SQL, ML model development and cloud-based implementation, while aligning with business needs and fast-moving fashion analytics.

You will drive automated reporting, model scoring and monthly refresh cycles, contributing to innovation and data-driven decisions across ecommerce and retail channels.

Qualifications

• Master's degree in Mathematics, Statistics, Data Science, or Software Engineering.
• Strong technical skills in Python, ML, SQL/PL-SQL, Excel/VBA.
• Experience with BI tools like Tableau or MicroStrategy is a plus.
• Experience in retail/consumer industries is an asset.
• Understanding of cloud platforms like AWS.

Responsibilities

• Drive open source programming culture within the marketing analytics team.
• Implement ML models using Python, SQL and AWS.
• Automate ad-hoc reporting and ML product development.
• Test and validate models to ensure business relevance.
• Set up automated model scoring with monthly refresh.

Skills

Python

Machine Learning

SQL

Excel / VBA

Education

Master's degree in Mathematics or Statistics or Data Science or Software Engineering

Tools

Tableau

MicroStrategy

AWS

Job description

Saks OFF 5TH is the premier luxury off-price destination. In its more than 100 stores in the U.S. and Canada, and online, at SaksOFF5TH.com, the company provides the best names in fashion at an incredible value through its merchandise authority, unparalleled brand access and seamless connection between ecommerce and stores.

What This Position Is All About

Data Science Intern Saks Off 5th (SO5) is a world-class destination for top designer brands at extraordinary value. SO5 combines the two great joys of shopping: the delight of discovering the best in luxury and the thrill of finding a deal. A modern shopping experience of carefully curated designer trends, exceptional service and savings on the biggest names in fashion, we lead the market as the premier luxury-value destination. The company's unique approach combines a focus on the digital customer experience with a strong connection to a network of extraordinary stores that extends that seamless experience into the real world. We are currently in the midst of a dramatic expansion, driven by significant enhancements to our platforms and offerings, with the goal of becoming the preeminent destination for luxury internationally.

What This Position Is All About

The successful candidate will focus on driving open source programming culture within the marketing analytics team at SAKS OFF 5TH India. He/ She will be well versed with Python programming, SQL and Machine learning techniques implementation through cloud platform like AWS. He/ She will help the team to perform on adhoc-request, report automation and ML products development. Forward thinking is the key to this role as new technologies and opportunities present themselves.

Who You Are

• Gather and translate business requirements on key projects
• Effectively manage project assignments and documentation, including establishing and communicating overall priority and defining project scope, deliverables and timing
• Communicate assignment status against goals ongoing
• Test and validate all the models and work closely with counterparts in NY to ensure the models make business sense
• Set up automated model scoring process to ensure frequent (monthly) refresh of predictive models
• Automate and streamline processes to ensure no downstream impact
• Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents

You also have

• A Master's degree in Mathematics or Statistics or Data Science or Software Engineering
• Demonstrate strong technical skills, including proficiency in some of the following areas: Python, Machine Learning, SQL / PL-SQL, Excel / VBA macro
• Working experience with Tableau, MicroStrategy or other business intelligence tools an asset
• Experience in retail, financial, or other consumer based industries is an asset
• Strong mathematical, written, and verbal communication skills
• Understanding of cloud computing platforms like AWS and large-scale databases

As the Data Science Intern, you will

• Drive for Results - Pushes self and others to exceed goals and achieve breakthrough results
• Recognizes the key actions necessary to achieve results, establishes and communicates the priorities to supervisor, demonstrates persistence in removing barriers
• Strategic Thinking - Think strategically by clearly anticipating future trends and consequences
• Create clear and compelling business plan and communicate effectively to cross-functional partners
• Business Acumen - Leverages business judgment to shape strategy, based on understanding of operational, financial, and organizational requirements and capabilities

Your Life and Career at SAKS OFF 5TH

Be part of a world-class team; work with an adventurous spirit; think and act like an owner-operator! Exposure to rewarding career advancement opportunities, from IT to Human Resources, Merchandising to Finance. A culture that promotes a healthy, fulfilling work/life balance

Your Life and Career at Saks OFF 5TH

Be part of an empowered, innovative team; work with an adventurous spirit and a customer-centric mindset; play a critical role in making decisions that will position us to win Exposure to rewarding career advancement opportunities across different functions within our corporate offices, retail stores, photo studios, and distribution centers A culture that promotes a flexible work environment

Benefits

• Benefits package for all eligible full-time employees (including medical, dental and vision)
• An amazing employee discount and other exciting perks
• A culture that promotes a healthy, fulfilling work/life balance
• A culture that promotes a flexible work environment
• Exposure to rewarding career advancement opportunities, from IT to Human Resources, Merchandising to Finance
• Exposure to rewarding career advancement opportunities across different functions within our corporate offices, retail stores, photo studios, and distribution centers

We believe that our differences not only make us stronger, but also guide our evolution and future growth. All associates are expected to create an inclusive environment free from harassment, discrimination, and bullying. Together, we celebrate, advocate for, and learn from our colleagues, customers and communit