Sr Data Scientist- Roundel

As Senior Data Scientist, you will join a Data Sciences team responsible for building ML solutions for Roundel. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production.

• 5+ or more years of extensive experience in Machine Learning models.
• Experience in developing and optimising the scalable machine learning solutions for various business use cases.
• Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate them to machine learning solutions.
• Strong experience in one of the general programming languages (Python or Java). Familiarity with Big Data frameworks Like Hadoop and Spark is essential. Familiarity with Machine learning frameworks like TensorFlow, Pytorch or Keras is preferred.
• Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
• Self-driven and results oriented; able to meet tight timelines

Preferred Qualifications:

• MS or PhD in a quantitative field
• Experience in designing, implementing, and deploying Machine learning models in production environment.

Competitive benefits

We are proud to provide benefits that support you, your family and your future.

Health and well-being

Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support.

Financial well-being

Your financial well-being is bright with TII’s comprehensive flexible insurance program, National Pension System, learning assistance program, day care support and much more.

Paid time off

TII encourages work-life balance with paid time off like privilege, casual, bereavement and parental leaves that offer support in all stages of life.

Competitive pay

TII knows our people are everything and proudly provides equitable and competitive pay.

Other benefits

From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks. More about pay & benefits

Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change.

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America’s leading retailers.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you’ll build relationships by being authentic and respectful., At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Pyramid overview

A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on

Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target’s culture and apply retail domain knowledge.