Address
Form of work Job Description
Job purpose
At Levi Strauss & Co, we are revolutionizing the apparel business and redefining the way denim is made.
We are taking one of the worlds most iconic brands into the next century:
from creating machine learning-powered denim finishes to using block-chain for our factory workers wellbeing, to building algorithms to better meet the needs of our consumers and optimize our supply chain.
Be a pioneer in the fashion industry by joining our global Data, Analytics & AI startup with assets, where you will have the chance to build exciting solutions that will impact our European business and at the same time be part of a bigger, across-continents, data science community.
As a Lead Data Scientist you will be the technical lead of the Data, Analytics and AI team and will create advanced analytics, machine learning, and AI solutions to better address our consumers needs while streamlining our processes and approaching the business in more innovative ways.
In. this role, you will translate the needs of our cross-functional stakeholders into predictive models and actionable insights that will drive revenue and/or reduce cost, with emphasis on automation and business process improvement.
This role will lead specific projects/initiatives for internal clients; directly mentor Data Scientists, data analysts, and data engineers; and will perform technical reviews on the teams work. This role will contribute to the global Data, Analytics & AI community, share your knowledge and leverage other global colleagues experience.
Duties And Responsibilities
Develop analytical solutions / production-ready models that solve real business problems, taking account of business needs and technology/operations landscape; lead interaction with internal clients and technology on specific projects and initiatives
Apply advanced analytics, machine learning, and AI techniques to derive business value from the full range of internal and external data sets, leveraging Cloud-based Big Data technology
Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability
Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation
Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in
Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value
Coach and mentor others, serving at the predominant technical data science expert on the AMA team, and one of the leading experts globally within LS&Co; actively contribute to and re-use community best practices
Embody the values and passions that characterize Levi Strauss & Co., with empathy to engage with colleagues from a wide range of backgrounds
Promote data science at Levi Strauss & Co in relevant channels through networking, speeches, and publications
Qualifications
Required:
Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent discipline required
7 to 9 years of hands-on experience, in retail or FMCG, in developing a variety of machine learning models and algorithms in a commercial environment with a track record of creating meaningful business impact
Strong SQL and Python skills required; proficiency in at least one open-source programming language (R, Java, C++ or another) desirable
Expertise in multivariate statistical modelling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.) required
Experience with cloud computing platforms (AWS, GCP or other), or equivalent on-premise platform
Ability to mentor and lead others; provide hands-on technical guidance; conduct code reviews
Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas
Desirable
Experience with neural networks and deep learning, using frameworks such as TensorFlow, desirable
Proficiency with data visualization tools (D3.js, R Shiny, Looker, Tableau or similar)
Proficiency with Spark or MapReduce
Experience working in agile methodology
LOCATION
India, Bangalore - Office
FULL TIME/PART TIME
Full time
Current LS&Co Employees, apply via your Workday account,
