Data Scientist - TM/ SDM- Hyderabad

Data Scientist -TM/ SDM- Hyderabad

2 Nos.
5172
Full Time
6.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 25.00 LPA
Job Description:

 

PFB JD for Data Scientist role for better understanding.

 Data Scientist -Job Description:

  • Performing data analysis by integrating data from different data sources
  • Able to understand various data structures and common methods in data transformation
  • Participating and add value throughout data life cycle - data capturing, model inputs
  • Developing advanced statistical models, machine learning methods ((Random Forest, Decision Trees, SVM, NLP, Gradient Boosting, Supervised/Unsupervised Learning, Clustering, classification and regression modeling) & deploying these models
  • Should have a good working knowledge of Predictive Modeling techniques and methods
  • Should have a good working knowledge of the Technical tools - R/Python, Advance SQL (Tableau is optional)

 

For < 3 years of experience – While the Candidate will be guided on what is the business problem to be solved, he should be able to develop the model and incorporate feedback & deploy the model in production

For 3 to 6 years of experience – The Candidate should be able to work independently – right from understanding the business problem to be solved through the development & deployment of models. Ability to interact with the business is a must

For > 6 years’ experience – The Candidate should be able to lead a small team, guide them on the business problem - right from understanding the business problem to be solved through the development & deployment of models. The Candidate should work with the business to identify use cases to be solved. Ability to interact with the business owner is a must

BPS Analytics:  Cross Industry Analytics Engineer/Solution Architect  (Development role or Design/architect role)

 

Job description

  • Data analysis and model development for client and cross-industry solutions  focused on analytics, statistics, correlation analysis and predictive modelling
  • Working with extended teams on identifying industry and/or cross industry analytics approaches toward solution development, especially as "embedded analytics” within Business Process Services (BPS) clients
  • End to end analytics solution responsibilities within the industry or analytics competency areas for development and into production (with the help of a Lead Analytics Architect and additional analytics engineers (developers):
    • Initial solution definition
    • Data identification, cleaning, completeness, initial analysis
    • Correlation, statistics, variable/metric id and development
    • Predictive toward prescriptive model development
    • Analytics development lifecycle use – dev, test, prod
  • Participate in overall BPS Analytics solutions portfolio prioritization, overall solution strategy, resource alignment on projects, etc.
  • Contribute to thought leadership and strategic internal initiatives
  • Work across other Cognizant division technical resources on both pilots and production solutions both within BPS and across broader BI and analytics platforms
  • Apprising the stakeholders about project(s) status on a regular basis.

Desired Skills and Experience

  • Data understanding and analytics design work done experience across at least two industry areas, especially regarding predictive analytics modeling, such as Banking, Financial Services and Healthcare – or, two other large/complex industry verticals, i.e. Insurance and Communications/Telco
  • Prior experience in hands on development of analytical models, including data-driven metric, variable identification, creation and impact/priority development, as input to the model(s)
  • Cross-industry analytic modeling experience a plus, i.e. contact center, claims operations and/or fraud, customer satisfaction predictions, etc.
  • Able to perform drill down analysis of key business problems, interpret results, generate insight and recommend strategies, into solution development completion
  • Thorough knowledge of statistical modeling tools and simulation software
  • Strong to expert knowledge of SAS and/or R or similar industry tools – preferably multiple tool experience
  • Knowledge of actuarial tools such as Emblem, Moses, Prophet, etc. are desirable but not mandatory
  • Self-driven individuals with a strong passion for innovation required
  • Strong knowledge of at least one of the complex industry domains with some exposure to a second is highly preferred
  • Effective analytical, oral and written communication and presentation skills, including in development of PowerPoint presentations
  • Very good interpersonal skills and positive attitude
  • Independent and result-driven mindset
  • Experience working as part of an onshore/offshore model is preferred
  • This is an offshore role, working across other offshore/India-based resources, as well as tele/video conferenced interactions with other U.S. and/or near shore team resources
Company Profile
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