Lead Data Scientist

Title: Lead Data Scientist (onsite)

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.

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 Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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

Location: Remote

Job Summary

We are seeking a highly experienced Lead Data Scientist with 14 to 17 years of experience to join our team. The ideal candidate will possess strong technical skills in Airflow Machine Learning Dialogflow Artificial Intelligence Natural Language Processing Deep Learning Tensorflow and Python. This role will involve working in a hybrid model with day shifts and no travel requirements.

Responsibilities

• Lead the development and implementation of advanced machine learning models to solve complex business problems.
• Oversee the design and deployment of data pipelines using Airflow to ensure efficient data processing.
• Provide expertise in Natural Language Processing and Dialogflow to enhance conversational AI capabilities.
• Utilize deep learning techniques to develop innovative solutions for various applications.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Conduct thorough data analysis to extract meaningful insights and drive data-driven decision making.
• Mentor and guide junior data scientists to foster a culture of continuous learning and improvement.
• Ensure the scalability and reliability of machine learning models in production environments.
• Develop and maintain documentation for all data science projects and processes.
• Stay updated with the latest advancements in AI and machine learning technologies.
• Implement best practices for model validation testing and deployment.
• Work closely with stakeholders to understand their requirements and deliver impactful solutions.
• Contribute to the companys purpose by leveraging AI to create positive societal impact.
  
  

Qualifications

• Possess strong technical skills in Airflow Machine Learning Dialogflow Artificial Intelligence Natural Language Processing Deep Learning Tensorflow and Python.
• Demonstrate extensive experience in developing and deploying machine learning models.
• Exhibit proficiency in designing data pipelines and ensuring efficient data processing.
• Show expertise in Natural Language Processing and conversational AI technologies.
• Have a deep understanding of deep learning techniques and their applications.
• Display the ability to mentor and guide junior team members effectively.
• Maintain up-to-date knowledge of the latest advancements in AI and machine learning.
• Experience in the Information domain is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Proven track record of delivering impactful AI solutions.
• Ability to work in a hybrid model with day shifts.
• No travel requirements.
  
  

Certifications Required

Certified TensorFlow Developer Professional Machine Learning Engineer

Salary And Other Compensation

The annual salary for this position is between $160,000 – $ 170,000 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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.