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Senior Data Science
Saks
posted 17d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- A Sr 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: 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
Employment Type: Full Time, Permanent
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based on 8 employees
Flexible timing
Monday to Friday
No travel
Saks Benefits
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