Address
Form of workDescription
We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
Role and Responsibilities:
• Ideation & Brainstorming for implementing Data Science solutions for various problems across business teams.
• Perform Exploratory Analysis on source data present under data lake and any other use-case specific data as required to solve the problem at hand.
• Collaborate on Feature Engineering and Transform data to build relevant Analytical Data Products (ADTs).
• Build Machine Learning (ML) Models by using transformed data primarily by using Python & Spark-ML based algorithms. Therefore create & maintain ML Products
• Work on Optimizing the ML Models by utilizing the Hyper-parameter tuning and other relevant techniques.
• Build the deployment pipelines to deploy Data products as well as ML products.
• Schedule the various Pipelines and create delivery & Egress plans.
• Build and maintain Dashboard pipelines and build Power BI/Tableau dashboards to present outputs to relevant Business teams.
• Perform Model management activities like drift analysis, re-trainings etc.
• Perform decision support analytics as and when needed to support Business strategies or to conquer business problems.
Salary and Other Compensation
The annual salary for this position is between USD ($130kp/a - $135kp/a) depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
#LI-JM1
#CB
#IND123
Qualifications
Technical Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Data Science
PL4
Desired
2
Tensorflow
PL2
Required
Domain Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Order to Cash Order Management
NA
Desired
* Proficiency Legends
Proficiency Level
Generic Reference
PL1
The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
PL2
The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.
PL3
The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.
PL4
The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.
We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
Role and Responsibilities:
• Ideation & Brainstorming for implementing Data Science solutions for various problems across business teams.
• Perform Exploratory Analysis on source data present under data lake and any other use-case specific data as required to solve the problem at hand.
• Collaborate on Feature Engineering and Transform data to build relevant Analytical Data Products (ADTs).
• Build Machine Learning (ML) Models by using transformed data primarily by using Python & Spark-ML based algorithms. Therefore create & maintain ML Products
• Work on Optimizing the ML Models by utilizing the Hyper-parameter tuning and other relevant techniques.
• Build the deployment pipelines to deploy Data products as well as ML products.
• Schedule the various Pipelines and create delivery & Egress plans.
• Build and maintain Dashboard pipelines and build Power BI/Tableau dashboards to present outputs to relevant Business teams.
• Perform Model management activities like drift analysis, re-trainings etc.
• Perform decision support analytics as and when needed to support Business strategies or to conquer business problems.
Salary and Other Compensation
The annual salary for this position is between USD ($130kp/a - $135kp/a) depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
#LI-JM1
#CB
#IND123
Qualifications
Technical Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Data Science
PL4
Desired
2
Tensorflow
PL2
Required
Domain Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Order to Cash Order Management
NA
Desired
* Proficiency Legends
Proficiency Level
Generic Reference
PL1
The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
PL2
The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.
PL3
The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.
PL4
The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.
