Applied Data Scientist

Cognizant; Mason (OH); Presencial; USD 130.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) plan

Paid holidays & PTO

Parental Leave

Employee Stock Purchase Plan

Descripción de la vacante

Cognizant in Mason, Ohio is seeking an Applied Data Scientist to design, develop, and deploy AI/ML solutions that solve business challenges and drive measurable outcomes. You will collaborate with stakeholders, data engineers, and cross-functional teams to deliver production-ready models and generate actionable insights at scale.

This onsite role requires 5 days per week in the client or Cognizant office in Mason, Ohio, and offers exposure to generative AI, MLops, and cloud-based deployments.

Formación

• Proven experience delivering business-focused AI/ML solutions.
• Strong Python or R skills with ML frameworks (scikit-learn, TF, PyTorch).
• Solid statistical analysis, predictive modeling, and data mining knowledge.
• Experience deploying ML solutions in production environments.
• Ability to translate business problems into actionable data science outcomes and communicate to diverse stakeholders.

Responsabilidades

• Collaborate with stakeholders to understand challenges and identify AI opportunities.
• Perform exploratory data analysis, feature engineering, and model experiments.
• Design, test, and deploy ML models addressing business needs and decisions.
• Research and prototype emerging AI tech, including generative AI and LLMs.
• Partner with cross-functional teams to monitor, optimize, and maintain production ML solutions.

Conocimientos

Python or R

ML frameworks (scikit-learn, Tensorflow

Statistical analysis

Production ML deployment

Communication to stakeholders

Herramientas

Azure

Databricks

Spark

Synapse

Docker

Kubernetes

Descripción del empleo

About the role

As an Applied Data Scientist, you will make an impact by designing, developing, and implementing AI and machine learning solutions that solve complex business challenges and drive measurable outcomes. You will be a valued member of the AI and Data Science team and work collaboratively with business stakeholders, data engineers, architects, and technology teams to deliver scalable, production-ready solutions.

In this role, you will:

• Collaborate with business stakeholders to understand challenges, define requirements, and identify opportunities for AI and machine learning solutions.
• Perform exploratory data analysis, statistical modeling, feature engineering, and machine learning experimentation to generate business insights.
• Design, develop, test, and deploy machine learning models that address business needs and support decision-making.
• Research, evaluate, and prototype emerging AI technologies, including generative AI, large language models (LLMs), and advanced machine learning techniques.
• Partner with cross-functional teams to integrate, monitor, optimize, and maintain machine learning solutions in production environments.

Work model

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role's business requirements, this is an onsite position requiring 5 days per week in a client or Cognizant office in Mason, Ohio.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

• Proven experience as a Data Scientist, Applied Data Scientist, or Machine Learning Engineer delivering business-focused solutions.
• Strong proficiency in Python or R and experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques.
• Experience developing, deploying, and supporting machine learning solutions in production environments.
• Ability to translate business problems into actionable data science solutions while effectively communicating technical concepts to diverse stakeholders.

These will help you stand out

• Experience with generative AI, large language models (LLMs), deep learning, and emerging AI technologies.
• Familiarity with Azure, Databricks, Spark, Synapse, and Lakehouse architectures.
• Experience deploying machine learning solutions using cloud-native services, Docker, or Kubernetes.
• Knowledge of MLOps practices, model monitoring, performance optimization, and retraining strategies.
• Experience working in Agile, cross-functional delivery environments and presenting analytical findings to non-technical audiences.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary and Other Compensation

Applications will be accepted until November 08, 2026

The annual salary for this position is between $ 130,000 - $ 150,000 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.