Data Scientist (Mumbai, MH, IN)

<style type="text/css"> </style> <p><span style="">Relocation Assistance Offered Within Country<br>Job Number #173498 - Mumbai, Maharashtra, India<br><br><strong>Who We Are</strong><br><br>Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!<br><br>Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.</span><br><br></p><p style="margin-top:0.0pt;margin-bottom:10.0pt"><span style=""><strong><span style="">What is the purpose of this role?</span></strong></span></p> <p style="margin-top:0.0pt;margin-bottom:10.0pt"><span style="">This role is expected to apply strong expertise in data science and machine learning through leading data collection &amp; mining, data analysis, data visualizations, and predictive/prescriptive modeling efforts to build, test, and maintain analytics solutions which meet key business needs. This role will work with an analytics translator, other data scientists, and key business partners to define the business problem in a way that can be solved analytically.  </span></p> <p style="margin-top:0.0pt;margin-bottom:10.0pt"> </p> <p style="margin-top:0.0pt;margin-bottom:10.0pt"><span style=""><strong><span style="">Why is this exciting?</span></strong><span style=""> </span></span></p> <p style="margin-top:0.0pt;margin-bottom:10.0pt"><span style=""><span style="">You will lead the development of efficient and accurate analytical models (ranging from descriptive to prescriptive) and incorporate them into data products or tools which meaningfully make an impact on the business. So if you are an experienced Data Scientist passionate about collaborating with cross-functional teams, tackling real-world problems through testing and learning, have an intellectual curiosity to understand and answer questions using data, and are seeking a work environment that fuels learning, all while making a significant impact in oral care, we strongly encourage you to apply.</span><span style=""> </span></span></p> <p style="margin-top:0.0pt;margin-bottom:0.0pt"> </p> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style=""><strong><span style="">What would be the responsibilities for this role?</span></strong></span></p> <ul style="margin-top:0.0px;margin-bottom:0.0px"> <li style=""> <p style="margin-top:12.0pt;margin-bottom:0.0pt"><span style="">Lead multifaceted analytic studies against large and small volumes of data for a variety of problems including projections, classifications, clustering, pattern analysis, simulations and more with junior data scientists</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Co-develop an analytics roadmap for the business domain to which you are assigned</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, anomalies, and quantify business results</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Integrate data science work into user-facing applications and tools with data engineers, business leads, analysts and developers</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Build, deploy, maintain, and refresh end-to-end, repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Identify and/or create new data as needed for use cases with limited data</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Work with data engineers to clean, massage, and organize data and to define data assets, eg, data models</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Lead the creation of analytical (e.g., code libraries &amp; ML architecture) and data (e.g., external or partnership based data) assets</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Where needed, generate experiments on data using the scientific method, story-tell experimental results, and provide previously undiscovered solutions to data challenges</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Be the expert in the room on industry and field trends to push analytic builds towards best practices and state-of-art, as needed</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Effectively communicate the analytics approach and how it will meet and address objectives to business partners</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:12.0pt"><span style="">Explain principles and approaches to business partners and senior management in a non-technical manner</span></p> </li> </ul> <p style="margin-top:0.0pt;margin-bottom:0.0pt"> </p> <p style="margin-top:0.0pt;margin-bottom:0.0pt"> </p> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style=""><strong><span style="">What does the ideal candidate profile look like?</span></strong></span></p> <ul style="margin-top:0.0px;margin-bottom:0.0px"> <li style=""> <p style="margin-top:12.0pt;margin-bottom:0.0pt"><strong><span style="">Required:</span></strong></p> </li> <li style=""><span style="">Atleast 3yrs+ work experience in any FMCG / CPG oragnisation</span> <p style="margin-top:12.0pt;margin-bottom:0.0pt"> </p> <ul> <li style="margin-left:-9.0pt"> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Academics: Bachelors Degree in Data Science, Mathematics, Computer Science, Engineering, Statistics, Econometrics or other related fields</span></p> </li> <li style="margin-left:-9.0pt"> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Minimum 6+ years’ experience in programming Languages - Python, R</span></p> </li> </ul> </li> </ul> <p style="margin-left:-9.0pt"> </p> <ul style="margin-top:0.0px;margin-bottom:0.0px"> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><strong><span style="">Preferred</span></strong></p> <ul> <li style="margin-left:-9.0pt"> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Academics: PhD/Masters </span></p> </li> <li style="margin-left:-9.0pt"> <p style="margin-top:0.0pt;margin-bottom:12.0pt"><span style="">Use case experience with demonstrated success in the sales analytics/ eCommerce domain</span></p> </li> </ul> </li> </ul> <p style="margin-top:0.0pt;margin-bottom:0.0pt"> </p> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style=""><strong><span style="">What are the functional competencies required for this role?</span></strong></span></p> <ul style="margin-top:0.0px;margin-bottom:0.0px"> <li style=""> <p style="margin-top:12.0pt;margin-bottom:0.0pt"><span style="">SQL implementations (PostgreSQL, MySQL, Oracle, DB2)  </span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Proven experience in translating business challenges into data pipelines &amp; model framework</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style=""><span style="">Demonstrated expertise with supervised and unsupervised </span><span style="text-decoration:underline">modeling</span><span style="">- including regressions, classifications, feature selection, clustering, decision tree/forest learning, SVM, ensembling &amp; stacking, dimensionality reduction and more</span></span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Fundamental understanding of Bayesian statistics and causal inference</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Strong proficiency in NLP (natural language processing)</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style=""><span style="">Expertise with </span><span style="text-decoration:underline">data visualization</span><span style=""> techniques &amp; tools such as Plotly, matplotlib, ggplot2, etc, Shiny, Dash, Tableau, etc</span></span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Demonstrated experience with large datasets and distributed computing (eg Spark)</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Demonstrated experience with statistical tools or packages (eg SciKit) and ML frameworks (eg TensorFlow / PyTorch)</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Proficiency or familiarity with relevant database/data engineering needs including:</span></p> <ul> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Real-time data processing frameworks</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Metadata systems</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:0.0pt"><span style="">Data pipeline monitoring systems</span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:12.0pt"><span style="">SQL implementations (PostgreSQL, MySQL, Oracle, DB2) </span></p> </li> <li style=""> <p style="margin-top:0.0pt;margin-bottom:12.0pt"><span style="">ETL/ELT techniques, especially on cloud infrastructure (eg Google Cloud Platform)</span></p> </li> </ul> </li> </ul><p><br><span style=""><strong>Our Commitment to Inclusion</strong><br>Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.<br><br><strong>Equal Opportunity Employer</strong><br>Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.<br><br>Reasonable accommodation during the application process is available for persons with disabilities. Please complete this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdaxk_eF4utznQoVHlxmL9jVFJbOkM4Oe5CAdKOg-h9EPdLfg/viewform" target="_blank" rel="noopener"><span style="">request form</span></a> should you require accommodation.<br><br><span style="">#LI-Hybrid</span></span></p>