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22/10 Alok
HR at Volantis

Views:2012 Applications:56 Rec. Actions:Recruiter Actions:11

Data Science Module Lead - KPO (4-8 yrs)

Bangalore Job Code: 756809

You will play a strategic role in helping us to continuously improve our products and business decisions with your strong problem-solving ability and knack for statistical analysis.

You will be challenged to :


- Implement methodologies to standardize end to end data science project life cycle

- Implement state of the art data mining algorithms in production environment

- Building an End to End Data Science Framework designed to handle large volume data sets

- Lead Data Exploration and Statistical Inferences on datasets, Storytelling to communicate insights and findings in a simplified way

- Effective multitasking and delivery on time with quality

- Provide timely communications on significant issues or developments

- Evangelize new product features

- Work with cross functional teams for assessing data science use cases and product market fitment

Technical/Functional Skills:

- 4-5 years of relevant experience


- Should have managed a team directly at-least for a year


- Solid understanding of Statistics, Machine Learning, Deep Learning and Artificial Intelligence Technologies


- Should be aware of techniques for solving linear and non-linear optimization problems


- Should be aware of optimization of unconstrained functions


- Hands On experience in Python, R and equivalent programming languages


- Experience in building and scaling models for time series (such as sensors etc.) data is a priority


- Familiarity with agile execution of data science projects

Desired Characteristics :

- Strong oral and written communication skills


- Strong interpersonal and leadership skills


- Ability to influence others and lead small teams


- Lead initiatives of moderate scope and impact


- Ability to coordinate several projects simultaneously


- Effective problem identification and solution skills


- Proven analytical and organizational ability

Education :

Qualification :


- BE/B.Tech, ME/M.Tech, MS, MCA, PhD (with an aggregate of 75% and above)


- Stream (Preferable) : Operational Research/ Industrial Engineering/ Chemical Engineering


- Applied mathematics/Statistics/Applied Physics

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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