Job Summary
7 - 10 years
Key Skills
Data Science
Software Engineer/ Programmer
Posted On
14th Mar 2019
Company Profile

Zensar is a leading digital solutions and technology services company that specializes in partnering with global organizations across industries on their Digital Transformation journey.

Zensar offers a complete range of traditional and transformational IT services and solutions across the
application management and infrastructure management services. The Company has a complete technology services portfolio –Applications, Infrastructure, Digital and industry-specific solutions and has invested in developing strategic partnerships and alliances with key technology players to strengthen its offerings that serve as knowledge exchange and open up new avenues for business.

Strategically spread across 29 global locations, Zensar’s presence in US, Europe, Africa, Middle-East, India and APAC offers the ease and the reach to our customers located in these regions. Zensar has 11 global delivery centers across India (Pune, Hyderabad, Mumbai and Bangalore), UK, Africa (Johannesburg), Amsterdam and US (Westborough) and we support customers 365 days, 24x7.

With over 8500 associates spread across 20 nationalities, diversity at Zensar is about celebrating individuality, creativity, innovation, and flexibility. If you’re looking for a workplace where associates realize and contribute to their full potential, are recognized for the impact they make, and enjoy the company of the people they work with, then you’ve come to the right place!

The openings for which we are currently recruiting are:

Data Science

Job Description

•    Proficient in computer languages like Python, R and SQL, making use of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment.
•    Experience with common feature engineering & Statistical techniques and machine learning algorithms for Supervised and Unsupervised Learning, like Regression, Classification, Clustering, Time Series
•    Ability to understand mathematical models and algorithms, and to implement them into running software for projects & able to explore big data.
•    Research and understand user behavior patterns, such as user engagement and segmentation, using machine learning models, to help test hypotheses.
•    Forecasting, anomalies detection, performance evaluation, risk analysis, preventive maintenance, proactive failure detection
•    Extract and analyze the large volume of data to find the hidden insights.
•    Design and implementation of machine learning models, metrics and application of feature engineering techniques applied to customer’s problems.
•    The engineering teams in the implementation of production-ready solutions involving machine learning.
•    Ability to provide creative and innovative approaches to problem solving
•    Ability to work independently and within a collaborative team environment
•    Business sense and consulting behavior to identify and breakdown problems.
•    Communicate and work with business subject matter experts.
•    Excellent Communication Skills. aa

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