Role Summary:
We are looking for a Sr. Data Scientist role for our digital practice team to help us create innovative and build machine learning solutions. Responsibilities include understanding the business problem, leading project delivery, work with data scientists and data engineers to build AIML solutions, experimenting with various ML algorithms and deploying analytics solution on cloud.
Please apply only if you have more than 2 years' experience in advanced analytics and have hands-on experience of at least 2 years in solving complex business problems using machine learning /deep learning techniques.
Job Description:
- Design, train, and deliver data science solutions using all modalities (tabular, text, image)
- Working hands on advanced analytics projects using python
- Mentor and work with a team of data scientists and data engineer to build advanced analytical solutions for clients
- Analyse experimental results, iterate, and refine models to create significant business impact
- Understanding and formulating the business problem into analytics framework
- Managing stakeholders, and communicating insights to business and technical teams
Requirements:
- Analytics exposure to solve business problems in supply chain, sales & marketing, and finance across CPG or similar industries
- Bachelor's degree in a quantitative discipline, preferably Computer Science; master's degrees is a plus
- 2-8years' experience in data science/analytics role
Mandatory prior experience in any of the following areas:
1. Customer and Marketing Analytics
2. Pricing and Promotion Analytics
3. Supply Chain Analytics - Demand Forecasting / Production Planning / Procurement / Inventory Planning / Logistics
4. Digital Analytics
5. Predictive Maintenance / Predictive Quality
- In-depth understanding of various machine learning algorithms
- Ability to write robust codes in Python and familiarity with standard machine learning libraries is a plus
- Excellent communication and interpersonal skills to interact with internal and external stakeholders
- Good team player, self-motivated, able to ideate and work on various initiatives
Good to Have:
- Knowledge and experience in deep learning frameworks like TensorFlow, PyTorch
- Familiarity in working with Azure, AWS, GCP or similar cloud platforms
- Understanding of NoSQL databases, such as MongoDB, Cassandra
- Understanding of containerizing applications using Docker
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