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12/06 Nainy Sood
HR at eClerx Services Ltd

Views:332 Applications:59 Rec. Actions:Recruiter Actions:16

eClerx - Senior Data Scientist - NLP/Image Processing (12-25 yrs)

Navi Mumbai Job Code: 936978

Senior Data Scientist Description :

The Data Scientist job produces innovative solutions through the use of advanced data analytics from complex and high-dimensional datasets. Works with business partners to understand what the business needs and issues are to address. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries to meet a variety of business challenges. 


Develops and evaluates predictive models and advanced algorithms that lead to business solutions. Conducts the complex and vital analytics work critical to the organization. Assists with complex projects that yield actionable insights used by senior management to make strategic, data-driven business decisions. Communicates findings and recommendations to leadership and business partners.


Job duties and responsibilities include :

- Creates business application and modeling framework, for new datasets, and discovers insights and relationships from large/complex datasets through investigative research using advanced mathematical and/or statistical techniques.

- Explores data using a variety of advanced statistical techniques to proactively identify relationships, create insights and answer business questions or guide future model development.

- Build the hypothesis, identify research data attributes and determine best approach to address business issues.

- Combines business acumen with mathematical capabilities to build complex predictive models to support business objectives.

- Builds complex programs for running mathematical or statistical tests on data and for understanding complex relationships across attributes.

- Incorporates findings and provides industry and competitor insights as part of model development and enhancement.

- Researches and maintains awareness of industry best practices and business strategies.

- Brings new and innovative ideas and approaches to develop business solutions.

- Monitors industry and competitor trends to determine potential impact to predictive models.

- Incorporates findings and provides industry and competitor insights as part of model development and enhancement.

- Identifies, leverages and develops expertise in emerging technologies, open source tools, and harnesses new techniques (e.g., machine learning).

- Networks with and contributes thought leadership to the broader external analytics community. Builds awareness of leading techniques, tools, and data resources.

- Assists with complex research or analytics projects related to large, complex business initiatives.

- Interacts with company senior leadership to inform on industry trends and emerging research topics. Serves as internal expert for new areas of analytics exploration. 


The Data Scientists are expected to specialize in one or more of the following areas :

Specialization Area 1: NLP 


- Top candidates will have 5+ years of NLP (Natural Language Processing) experience. 


- Experience in any of the following areas preferred: o Natural language processing to model customer interactions and insurance concept extraction

a. Image processing (Deep learning) for damage assessment.

b. Speech recognition.

c. Chatbots for customer service.

d. Recommendation engines for the insurance industry.

e. Applications of Deep learning.

- Proficiency with the following tools preferred: Python, Spark, Tensorflow, CAFFE, familiarity with word embeddings, scikit-learn, Graph databases, Databases, AWS environments.

Specialization area 2 : Image Processing

- At least 2-3 years of experience working on image understanding problems such as visual classification, recognition, clustering, detection, and segmentation

- Good understanding of various fundamentals and concepts of image processing, computer vision and machine learning

- Strong grasp of deep Learning building blocks and architectures. Familiarity with image models such as AlexNet, VGG, GoogleNet.

- Experience with open source computer vision and deep learning libraries such as OpenCV, Caffe, TensorFlow

- Comfortable programming in C/C++. Familiarity with python a plus

Women-friendly workplace:

Maternity and Paternity Benefits

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