Data Scientist

Why is this exciting?

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.

What would be the responsibilities for this role?

• 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
• Co-develop an analytics roadmap for the business domain to which you are assigned
• Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, anomalies, and quantify business results
• Integrate data science work into user-facing applications and tools with data engineers, business leads, analysts and developers
• Build, deploy, maintain, and refresh end-to-end, repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
• Identify and/or create new data as needed for use cases with limited data
• Work with data engineers to clean, massage, and organize data and to define data assets, eg, data models
• Lead the creation of analytical (e.g., code libraries & ML architecture) and data (e.g., external or partnership based data) assets
• Where needed, generate experiments on data using the scientific method, story-tell experimental results, and provide previously undiscovered solutions to data challenges
• Be the expert in the room on industry and field trends to push analytic builds towards best practices and state-of-art, as needed
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners
• Explain principles and approaches to business partners and senior management in a non-technical manner

What does the ideal candidate profile look like?

• Required:
• Atleast 3yrs+ work experience in any FMCG / CPG oragnisation Academics: Bachelors Degree in Data Science, Mathematics, Computer Science, Engineering, Statistics, Econometrics or other related fields Minimum 6+ years’ experience in programming Languages - Python, R
• Academics: Bachelors Degree in Data Science, Mathematics, Computer Science, Engineering, Statistics, Econometrics or other related fields
• Minimum 6+ years’ experience in programming Languages - Python, R
• Preferred Academics: PhD/Masters Use case experience with demonstrated success in the sales analytics/ eCommerce domain
• Academics: PhD/Masters
• Use case experience with demonstrated success in the sales analytics/ eCommerce domain

What are the functional competencies required for this role?

• SQL implementations (PostgreSQL, MySQL, Oracle, DB2)
• Proven experience in translating business challenges into data pipelines & model framework
• Demonstrated expertise with supervised and unsupervised modeling - including regressions, classifications, feature selection, clustering, decision tree/forest learning, SVM, ensembling & stacking, dimensionality reduction and more
• Fundamental understanding of Bayesian statistics and causal inference
• Strong proficiency in NLP (natural language processing)
• Expertise with data visualization techniques & tools such as Plotly, matplotlib, ggplot2, etc, Shiny, Dash, Tableau, etc
• Demonstrated experience with large datasets and distributed computing (eg Spark)
• Demonstrated experience with statistical tools or packages (eg SciKit) and ML frameworks (eg TensorFlow / PyTorch)
• Proficiency or familiarity with relevant database/data engineering needs including: Real-time data processing frameworks Metadata systems Data pipeline monitoring systems SQL implementations (PostgreSQL, MySQL, Oracle, DB2) ETL/ELT techniques, especially on cloud infrastructure (eg Google Cloud Platform)
• Real-time data processing frameworks
• Metadata systems
• Data pipeline monitoring systems
• SQL implementations (PostgreSQL, MySQL, Oracle, DB2)
• ETL/ELT techniques, especially on cloud infrastructure (eg Google Cloud Platform)

Our Commitment to Inclusion 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. Equal Opportunity Employer 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. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Hybrid