Director - Data Science
3 weeks ago
About the Company:
Practice Lead – Data Science Overall 15+ Years of experience in which 8+ years’ experience in Data Science practice. Looking for those who have been working with IT Service Industry and able to scale up Data Science Practice. (Technology+Presales+strategy)
About the Role:
Ability to provide Consulting, Advisory, Assessment, and Implementation services to customers in Data Science. Experience in engaging on Presales and Sales activities for Data Science Practice with a focus on Estimation, Quality proposal making, and presentation. Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting). Develop and maintain robust data processing pipelines and reproducible modelling pipelines. Explore data and communicate insights clearly. Manage a team of data scientists and senior data scientists. Analyze experimental results, iterate and refine models to create significant business impact. Build analytic systems and predictive models. Test performance of data-driven products. Experiment with new models and techniques.
Responsibilities:
- Ability to provide Consulting, Advisory, Assessment, and Implementation services to customers in Data Science.
- Experience in engaging on Presales and Sales activities for Data Science Practice with a focus on Estimation, Quality proposal making, and presentation.
- Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting).
- Develop and maintain robust data processing pipelines and reproducible modelling pipelines.
- Explore data and communicate insights clearly.
- Manage a team of data scientists and senior data scientists.
- Analyze experimental results, iterate and refine models to create significant business impact.
- Build analytic systems and predictive models.
- Test performance of data-driven products.
- Experiment with new models and techniques.
Qualifications:
Bachelors Degree in Computer Science
Required Skills:
- Data Analytics Model development and deployment
- Strong forecasting experience
- Must have exposure to developing predictive analytics and machine learning algorithms for business applications.
- Good knowledge of data management and visualization techniques
- Hands-on experience of working across SQL, R, Python, Hadoop
- Artificial Intelligence and Gen AI
- Computer Vision
- Time series and forecasting
- AWS or Azure or GCP Cloud and CI/CD
- Tableau, Power BI, or D3.js
- Hadoop and Spark etc.
Preferred Skills: Pay range and compensation package:
Pay range or salary or compensation
Equal Opportunity Statement:
Include a statement on commitment to diversity and inclusivity.
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