Data Scientist

7 months ago

Mumbai Maharashtra, India Colgate-Palmolive Full time

Relocation Assistance Offered Within Country
158951 - Mumbai, Maharashtra, India

**Who We Are**
Colgate-Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom’s of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Pet Nutrition.

We are recognized for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children’s oral health.

If you want to work for a company that lives by their values, then give your career a reason to smile and join our global team

**About Us**

Would you like to be part of a team that is building a future to smile about? What about having the opportunity to collaborate with teams across the world, full of stimulating discussions, and making impactful contributions?

If this is how you see your career, Colgate is the place to be

Our dependable household brands, dedicated employees, and sustainability commitments make us passionate about building a future to smile about for our employees, consumers, and surrounding communities. We, at Colgate, take immense pride in our brand which fuels our workplace to encourage innovative thinking, champion experimentation, promote authenticity and thus contribute to our enduring success.

If you want to work for a company that lives by their values, then give your career a reason to smile...every single day

**What is the purpose of this role?**

**Why is this exciting?**

If you are a 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, and are seeking a steep learning curve while aiming to make a significant impact in oral care, we strongly encourage you to apply.

**What would be the responsibilities for this role?**
- To work with translators to identify business problems that can be addressed by analytics
- Participates in diagnostic & use case roadmap creation
- Optimally communicate the analytics approach and how it will meet and address objectives to business partners
- Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems
- Defines data lifecycles, including data sources, frequency and process for ongoing model upgrades
- Collaborates with the team to shape use cases and guide them towards defining data standards and identifying new data sources
- Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
- Engineer features by using your business acumen that will improve analytical models and are easy to interpret
- Explains principles and approaches to senior management in a non-technical manner
- Demonstrated ability to plan model upgrades with learnings from field
- Takes an active role in creating analytical (e.g., code libraries) and data (e.g., external or partnership based data) assets
- Required
- Academics: Bachelor’s in Data Science, Computer Science, Engineering, Statistics
- Minimum 2+ years prior experience in programming Languages - Python and/or R
- Preferred
- Experience in running use cases in the sales analytics/ eCommerce domain

**What are the functional competencies required for this role?**
- SQL implementations (PostgreSQL, MySQL, Oracle, DB2)
- Basic proficiency on **ML techniques** _(most of them if not all)_ - clustering, decision tree learning, naïve Bayes, support vector machines and neural networks.
- Basic proficiency on **NLP techniques** _(most of them if not all)_ - word2vec, RNNs, LSTMs, BERT, HuggingFace Transformers.
- Basic proficiency of **data visualization** techniques & tools _(at least a few)_ - Visualizing complex insights using Plotly, matplotlib, ggplot2, etc.; experience with dashboarding tools desired (e.g., Shiny, Dash, Tableau)
- ** Should have some familiarity** with data engineering tools & techniques.
- Building data pipeline on GCP
- Frameworks including TensorFlow, Theano, CNTK, scikit-learn, Caffe, Keras, Spark MLlib
- ** Statistical Tools & Concepts**:

- Good understanding of statistical concepts including descriptive analysis, experimental design, Bayesian statistics, sub-setting, and regression.
- Good understanding of statistical and data mining techniques including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis, dimensionality reduction algorithms

**What are leadership competencies r

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