Colgate Recruitment 2024 for its Data Scientist, Colgate Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors Degree. If you are interested, Please apply as soon as possible.
Company Name: Colgate
Role: Data Scientist
Location: Work From Home
Experience: 6 + Year
Qualification: Bachelors Degree
Batch: Any Batch
Job Type: Work From Home
Salary: Best in Industry
Colgate Recruitment 2024
Job Description:
This role is expected to apply strong expertise in data science and machine learning through leading data collection & 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.
Requirements:
- 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: PhD/Masters preferred
- Use case experience with demonstrated success in the sales analytics/ eCommerce domain
Responsibilities:
- 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
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