Senior Data Scientist

2 weeks ago

bangalore, India Saks India Full time
Role Title: Senior Data Science
Who We Are:
Saks is a world-renowned luxury ecommerce 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.
On its website and app, Saks offers an unparalleled selection of curated merchandise across fashion for women and men, beauty, jewelry, home décor and more. In addition to the shopping experience, customers come to Saks for inspiring editorial content, access to digital stylists, lifestyle experiences and other world-class services. The company is currently in the midst of a dramatic expansion, driven by significant enhancements to its platforms and offerings, with the goal of becoming the preeminent destination for luxury internationally.
What This Position Is All About:
- A Sr Data Science 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: 4+ Years
- Education/Qualification: Any Graduate/PG
Your Life and Career at Saks:
- 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
Saks 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 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.
Thank you for your interest with Saks. We look forward to reviewing your application.

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