Sr. Data Scientist

Saks OFF 5TH; India; On-site; INR 1,400,000 - 2,100,000; Full time

Benefits offered by this job

Medical, dental & vision benefits

Employee discount

Career advancement opportunities

Job summary

Saks OFF 5TH is seeking a Data Scientist to build ML solutions for business stakeholders. You will own problems end-to-end, applying advanced models on large data, and collaborating with teams to achieve data science outcomes.

The role emphasizes staying current with ML research, cloud platforms like AWS, and a product mindset to design scalable solutions across ecommerce workflows.

Qualifications

• Proficient in ML foundations, statistics, data mining and insight generation.
• Strong Python coding skills; able to work with Spark and SQL.
• Experience in ecommerce/retail analytics; product development mindset helpful.

Responsibilities

• Build end-to-end ML solutions for business stakeholders.
• Apply advanced ML algorithms on large data sets.
• Demonstrate model value to stakeholders and drive adoption.

Skills

Machine Learning

Statistics

AWS

Python

Pyspark

SQL

Education

Any Graduate/PG

Tools

Spark

Job description

What This Position Is All About:

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 Scientist Saks OFF 5TH is the premier online luxury off-price destination. Through its website and app, Saks OFF 5TH provides a compelling assortment of brands to fashion-seeking customers at the best prices. The company is reimagining traditional off-price with a digitally native model focused on customer experience.

What This Position Is All About:

A Data Scientist is responsible for building data science and machine learning solutions for our business stakeholders. Own a business problem and deliver end-to-end solution by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data. Support the team in demonstrating to business stakeholders the value of the solution. Collaborate with other team members in achieving data science outcomes and handle multiple products and initiatives. 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. Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

You Also Have:

Excellent knowledge of the foundations of machine learning and statistics and high proficiency in data mining, modeling, validation, and insight generation. Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce and retail domains. Strong Python coding skills and flexibility in coding languages. Ability to work in big data ecosystem - expert in SQL and ability to work with Spark. Able to understand the business and good stakeholder management capabilities and applies possesses a product mindset when designing solutions Understanding of cloud computing platforms like AWS and large-scale databases Proven ability to collaborate and work in teams and experienced in agile format on data science sprint projects Experience should be relevant to the role. Educational qualifications should be preferably in statistics or engineering fields such as computer science or a related area.

Mandatory Skills:

Machine Learning, Statistics, AWS, Python, Pyspark, SQL Additional Qualifications: Good to have experience in customer analytics, recommendation systems or Product Development. Years Of Experience: 3 to 5 Years Education/Qualification: Any Graduate/PG

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 package for all eligible employees (including medical, dental and vision) and other exciting perks
• Benefits package for all eligible full-time employees (including medical, dental and vision)
• An amazing employee discount and other exciting perks

Saks OFF 5TH provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.

In addition to federal law requirements, Saks OFF 5TH complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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 communities to create the best environment to shop and work for all.