06 July 2021

Ml Engineer Lululemon India Tech Hub Years T500

Who we are We are proud to be a growing global company with locations all around the world, from Vancouver to Shanghai, and places in between. We owe our success to our innovative product, our emphasis on our stores, our commitment to our people, and the incredible connections we get to make in every community we are in.
About the India Tech Hub With an increasingly connected world, the rise of athleisure as a lifestyle, and growing e-commerce services, the India Tech Hub will play a vital role in strengthening our capabilities and reach to an even wider audience. Together, we’re co-creating a future that otherwise wouldn’t exist. To do that, we’re looking for people who unite diverse perspectives to lean into bold visions. Who strive to be better than they were yesterday. Who are all in, in everything they do.
About the team The opportunity is for a role in the Merchandise Planning, PLIM Trade, and Network Planning team. We support the pre-season/in-season suite of technology solutions while living our vision to be an experiential brand and enhance the guest experience by delivering the right product, at the right place and time. We are responsible for ensuring the success of the team and proactively identify the most high-value deliverables and focus on shipping quality software solutions and other deliverables. By partnering closely with the business partners, project leads, and technical teams we help deliver project scope and ensure stakeholder expectations are met.At all levels, we demonstrate leadership by supporting the growth and development of the team as a whole and individually.At the core of our product is innovation. Planning functions are critical in understanding our guest, market, demand, and driving decisions on product placement. Trade and Network Planning functions are the backbone of navigating our complex world of moving goods across borders into warehouses and stores while managing productivity levels. Our work directly contributes to the success and growth of these functions.
A day in the life: · Work collaboratively with internal and external resources throughout the project life cycle to ensure system modifications meet business needs· Develop, maintain and deliver desirable, feasible, viable, sustainable features to end-users· Conduct the required engineering work to support the Sprint goals· Support production issues as relate to the application functionality and integration points.
Qualifications: · Bachelors or advanced degree in Computer Science, Data Science, Statistics/Mathematics, Software Engineering or equivalent is required.· Excellent spoken and written communication skills (verbal + non-verbal)· Proficient in Python, EMR, Github, · Proven experience in managing data warehouses and ETL pipelines (Min. 4 years)· 3 + years of experience with for Data Science.· Strong knowledge of optimization, classification, clustering and other Machine Learning technologies and ML Ops. (model registry, model deployment)· experience building the Time Series model using ML technologies and Statistics methods(preferred)· Familiarity with AWS services such as Sagemaker, Step Function, ECS, Lambdas etc.· Solid scripting capability for analysis and reporting ( Strong SQL )· Strong problem-solving skills (Statistics required for data modeling)· Strong analytical skills to support BAs.· Ability to work as a back-end data engineer (SQL/Python/PySpark) · Familiarity with Dev Ops practices like automated delivery pipeline (version control with Github)· Must have: Working experience in dealing with big data platforms and data manipulation.· Must have: Working experience with cloud platforms namely AWS or Azure · Must Have: experience with AWS ETL Platforms ( Glue / Athena / EMR ), Amazon Redshift · Bonus : Retail experience (fashion retail experience would be ideal)
Must haves: · Acknowledges the presence of choice in every moment and takes personal responsibility for their life.· Possesses an entrepreneurial spirit and continuously innovates to achieve great results.· Communicates with honesty and kindness, and creates the space for others to do the same.· Leads with courage, knowing the possibility of greatness is bigger than the fear of failure.· Fosters connection by putting people first and building trusting relationships.· Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously.

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