AI & Analytics Senior Associate

Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities.

Today, increasing globalization, rapidly-evolving technology, and a changing generation of workers and customers are challenging business assumptions. These are the forces that are transforming the way organizations compete and innovate. We call this the Future of Work - and it is no longer in the future.

For progressive master's degree graduates, this is an opportunity to join a rapidly-growing and global organization with a passion for building stronger businesses for our clients. Cognizant ( , NASDAQ: CTSH) is a member of the S&P-500, Nasdaq-100, and was recently ranked as the #1 Fastest Growing "All Star" by Fortune Magazine. Cognizant leverages a highly flexible business model, a seamless global delivery network, and deep domain expertise to deliver to a long list of world-class companies that are leaders in their own space. See how joining Cognizant and embracing the Future of Work can help you drive your career forward.

We are currently hiring for the following threerole opportunities. In your cover letter, please indicate your role preference: AI & Analytics Data Engineer, Visualization Engineer, or Data Scientist.

AI & Analytics Data Engineer


Responsibilities


Integrate high-volume, high-variation, and/or high-velocity data to answers in real-time and enable clients to ask an entirely new class of questions.

• Deliver data pipelines to store data in a way that is accessible, performant, secure, and sustainable
• Prototype solutions, prepare test scripts, and conduct tests for data replication, extraction, loading, cleansing, and data modeling for data warehouses
• Review and validate data loaded into data lakes/warehouses for accuracy
• Develop proofs of concept and evaluate design options to deliver ingestion, search, metadata cataloging and scheduling of data pipelines for data modernization
• Data engineering in line with best practices and Cognizant's reference architecture
• Understand and document technical use case requirements in order to deliver data movement and transformation solutions

Basic Qualifications

• Bachelor's degree in IT-related field and 0-3 years of IT experience
• Strong business communication skills (including written and oral)
• Experience with Java or Python development for modern data engineering
• Strong background in relational data models
• Exposure in ETL tools and Scala & Kafka
• Strong problem solving and analytical thinking skills

Distinguishing Qualifications

• Full lifecycle development experience
• Implementation experience within the Hadoop ecosystem
• Industry experience (financial services, insurance, retail, healthcare, life sciences, communications)
• Experience leading teams
• Experience in developing and deploying distributed computing Big Data applications using Open Source frameworks such as Apache Spark
• Working knowledge of application development using Hadoop components (HDFS, HBase, Hive, Sqoop, Flume, etc.)
• Exposure to data analytics and data mining tools/applications such as Tableau, QlikSense /QlikView, R, or SAS
• Exposure to working with SQL, Relational Database Management Systems (e.g., SQL Server, Oracle)
• Development workflows (e.g., Microsoft VSTS)

AI & Analytics Visualization Engineer


Responsibilities


Provide direct and interactive storytelling to clients through the use of information systems that transform data complexity into digitally-informed and intelligent data visualizations.

• Work with customers for addressing their visualization & narratives opportunities
• Frame and define strategic solution options to various stakeholders
• Perform analytical storytelling backed by self-developed visualizations and the articulation of IT-centric proposals to business communities
• Work with, and analyze, large data sets in multiple formats
• Embed AI within Visualization meaningfully to deliver customer outcomes
• R & D on new technologies and create shareable assets in the form of decks or whitepapers

Basic Qualifications

• Master's degree in IT-related field and 0-3 years of IT experience
• Portfolio of exceptional visualizations including data contextualization
• Experience using Tableau or a comparable BI tool such as QlikView, Spotfire, D3, Looker, Jaspersoft, ThoughtSpot, Open Source Visualization tools
• Exposure to Data Engineering Fundamentals to deliver Visualization engagements successfully
• Strong problem solving and analytical thinking skills

Distinguishing Qualifications

• Target to contribute on winning public hackathons
• Keep up-to-date on new analytics trends in the market, and identify where they can be implemented
• Focus on RPA, automation, innovations & tools, and track their benefit on RFP, project delivery
• Awareness of Narrative Science/ YSEOP/Automated Insights and concept of NLG/NLP etc.
• Big data monetization technologies including AtScale/Jethro/Arcadia data etc.
• Data Wrangling Technologies including Paxata/Trifacta/etc.

AI & Analytics Data Scientist


Responsibilities


Provide context for data, business, and IT across the data management, business intelligence, and descriptive analytics domains to deliver better, faster, and smarter analytical insights to some of the world's most successful businesses - our clients.

• Build an in-depth understanding of the opportunity, challenge or issue domain, and its associated data
• Interact with large and impactful data sets across business functions
• Research, design, implement, and evaluate machine learning approaches and models
• Take the initiative in evaluating and adapting new approaches from data science research
• Investigate data visualization and summarization techniques for conveying key findings
• Communicate findings and obstacles to stakeholders to help drive the delivery to market

Basic Qualifications

• Master's degree in IT-related or Engineering field and 0-3 years of IT experience
• Strong business communication skills (including written and oral)
• Hands-on experience in identifying and testing hypotheses, establishing correlations, selecting the right algorithms, building a predictive model using traditional, as well as machine learning algorithms, data quality assessment, imputing and transformation as well as familiarity with typical data distributions such as normal, binomials, chi-square, Poisson, etc.
• Hands-on experience with traditional modeling algorithms (e.g., regression, log-regression, clustering, Bayesian)
• Hands-on experience with the modeling platform like Python, R/R Studio
• Strong problem solving and analytical thinking skills

Distinguishing Qualifications

• Ph.D. in IT-related or Engineering field and 0-3 years of IT experience
• Familiarity with machine learning algorithms (e.g., Extreme Gradient Boosting, SVM, Random Forest, Neural Networks, etc.)
• Familiarity with developing and deploying models in the Hadoop environment
• Experience with collaborative development workflows (e.g., Microsoft VSTS)
• Exposure to working with SQL, Relational Database Management Systems (e.g., SQL Server, Oracle)

Learning & Development

• Your on-the-job success and Cognizant career advancement is important to us. To help you construct a platform for personal and professional growth, your Cognizant journey will include a learning program catering to your skill level and role.
• Gain niche Data Sciences skills vital to success in your new role
• Create job maneuverability in emerging and established technologies

Our commitment to you

• Your innovative thinking and successes will be rewarded with opportunities for career advancement
• You can make a difference working with high-profile clients and projects
• You will be supported by a high-caliber analytics ecosystem
• New skills, knowledge, and training through our global network of experts
• Competitive salary including paid time off, a 401K matching program, an extensive healthcare benefits suite, and more

Applicants must be willing to relocate - our business model requires our consultants to be as close to the client site as possible. Cognizant will provide relocation assistance.

Cognizant will not sponsor H-1B or other U.S. work authorization, or lawful permanent residence (otherwise known as a "====") for this role.

Cognizant is an equal opportunity employer provider and committed to creating a diverse environment. Cognizant considers all applicants without regard to race, creed, color..... click apply for full job details