Senior Data Scientist

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 Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.

Roles & Responsibilities

We are seeking a Senior Data Scientist with 10 to 13 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization. This is a work from office position with day shifts and no travel

Responsibilities

• MS / PhD in engineering or compute intensive physics / math / basic sciences
• 2-3 years enterprise experience preferably as a senior-DS or MLE.
• Strong python and SQL
• Someone who is willing and proficient in hands on coding and willing to wear many hats
• Lead the development and implementation of advanced data science models and algorithms to solve complex business problems.
• Oversee the entire data science project lifecycle from data collection and preprocessing to model deployment and monitoring.
• Provide expertise in Statistics Azure Open AI Service and EDA to ensure high-quality data analysis and insights.
• Utilize Airflow for workflow automation and orchestration of data pipelines.
• Apply Knowledge Graph techniques to enhance data relationships and improve data retrieval.
• Implement ML Ops practices to streamline the deployment and management of machine learning models.
• Leverage Machine Learning and Cloud AutoML to build scalable and efficient models.
• Develop and integrate AI enabled chatbots using Dialogflow and other relevant technologies.
• Utilize OpenCV for computer vision tasks and image processing.
• Apply Artificial Intelligence and Natural Language Processing techniques to develop innovative solutions.
• Utilize Deep Learning frameworks such as PyTorch and Tensorflow for model development and training.
• Use R Statistical Package and Python for data analysis visualization and model building.
• Optimize search engine performance through effective Search Engine Optimization strategies.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Mentor and guide junior data scientists to enhance their skills and knowledge.
• Ensure compliance with data privacy and security regulations in all data science activities.
• Continuously stay updated with the latest advancements in data science and AI technologies.
• Communicate findings and insights to stakeholders through clear and concise reports and presentations.
• Drive innovation and contribute to the companys purpose by developing impactful data science solutions.

Qualifications

Certifications Required

Certified Data Scientist Azure AI Engineer Associate TensorFlow Developer Certificate Professional Data Engineer

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Applications will be accepted until 28 Feb 2025.

Salary and Other Compensation :

The annual salary for this position is between $[ 135,500 - 156,500] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock options, 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