Lead Data Scientist​

Lead Data Scientist​

Job Description

You were made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. 

In this role, you will:

• Develop models and algorithms that drive innovation throughout the organization. This may include marketing, supply chain, inventory planning and deployment, network planning, order routing, and order fulfillment and delivery

• Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance

• Build learning systems that monitor data flows and react to changes in customer preferences, network constraints, and business objectives

• Collaborate with engineers to implement and deploy scalable solutions

• Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

• Partner as a bridge between the business and the information management teams to make sure that the solution fits within the data management principals

• Coordinates data science implementations while leading design variances based upon business needs while ensuring artifacts and repositories are documented

• Manage engagements with vendors as they relate to evaluation, design and delivery of business capabilities

• Contribute to the evaluation and selection of software product standards

• Lead in industry representation, policy formation, User Groups, and strategic direction

• Mentors others to complete Continuous Improvement (CI) initiatives; consults and shares knowledge across org; awareness of industry trends.

About Us

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.

At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark.

Led by Purpose. Driven by You.

About You

You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development.
You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.

In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications:

• 10+ years of continuous experience in software engineering, software development, solution architecture

• Deep knowledge of machine learning, statistics, optimization or related field

• Experience with R, Python, Matlab is required

• Experience building machine learning application in areas like time series forecasting, classification models, clustering models, multivariate regression models etc

• Experience in Microsoft Azure Stack in the Cloud with focus on Data Factory, Data Bricks, BLOBs, Data Lake Storage, ML Studio, Azure Analysis Services, Azure Data Warehouse, Power BI etc

• Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark, Python, R, Gurobi, MySQL, etc.)

• Excellent written and verbal communication skills along with strong desire to work in cross functional teams

• Consumer products experience in an online and/or retail/manufacturing environment is preferred

• Possess strong leadership skills and exhibit creative thinking to be able to come up with inventive solutions to solve business challenges

• Provide thought leadership while keeping up with industry trends and disseminating information across the organization

• Experience working with blended teams consisting of employees, vendors, and consultants with both onshore and offshore resources

• Strong Technical leadership of advanced analytics teams and vendors

• Extensive experience collaborating with Enterprise Architects and infrastructure engineers to identify, design, and implement highly complex, end-to-end solutions

• Cultivates networking opportunities within the organization

• · Broad range of business and IT experiences; Has achieved technical and/or business certification

To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.

In the meantime, please check out the careers website.

And finally, the fine print….

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check.

#LI-Hybrid

Primary LocationIT Centre Bengaluru GDTC

Additional Locations

Worker TypeEmployee

Worker Sub-TypeRegular

Time TypeFull time