Description
Role: Master Data Scientist (remote)
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Practice – AIA – Artificial Intelligence and Analytics
About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future – a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Job Duties and Responsibilities:
Roles & Responsibilities
• Master Data Scientist will be responsible for working on Azure Cloud to fine-tune the Model in Azure OpenAI.
• Strong background in Data Science. AI/ML, a deep understanding of Azure Cloud services, and excellent problem-solving abilities.
• Understand business requirements for the Generative AI use case.
• Clean, pre-process, and analyze the marketing dataset.
• Strong proficiency in Azure Cognitive services, specifically Azure OpenAI.
• Experience in Machine Learning and Generative AI implementations
• Expertise in data pre-processing, feature engineering, and working with large-scale datasets.
• Knowledge of statistical analysis, hypothesis testing, and experimental design.
• Strong critical thinking skills with the ability to translate business requirements into technical solutions.
• Experience with marketing datasets and understanding of marketing concepts is desirable.
Salary and Other Compensation :
The annual salary for this position is between $132,000.00 USD – $147,000.00 USD 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.
Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.
Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.
Qualifications
Technical Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Generative AI PL3 Desired 2 Machine Learning PL3 Desired 3 Data Science PL3 Required 4 Python PL3 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.