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Data Scientist
Synechron
On-site
Pittsburgh, PA, United States
Full-time
$120,000 -
$130,000
About Synechron
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
About the Role
We are seeking a highly skilled and motivated Data Scientist to join our team in Pittsburgh, PA. The ideal candidate will have strong expertise in statistical analysis, machine learning, predictive modeling, and data-driven problem solving. In this role, you will work closely with cross-functional teams to extract actionable insights from large and complex datasets, build scalable analytical models, and support strategic business initiatives.
Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
5+ years of experience in data science, machine learning, advanced analytics, or a related field.
Strong programming experience in Python or R.
Hands-on experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
Proficiency in SQL and experience working with relational and non-relational databases.
Strong understanding of statistical methods, predictive modeling, and data mining techniques.
Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Excellent problem-solving, analytical, and communication skills.
Ability to work effectively in a fast-paced, collaborative environment.
5+ years of experience in data science, machine learning, advanced analytics, or a related field.
Strong programming experience in Python or R.
Hands-on experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
Proficiency in SQL and experience working with relational and non-relational databases.
Strong understanding of statistical methods, predictive modeling, and data mining techniques.
Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Excellent problem-solving, analytical, and communication skills.
Ability to work effectively in a fast-paced, collaborative environment.
Responsibilities
Analyze large, structured and unstructured datasets to identify business trends, patterns, and opportunities.
Develop, validate, and deploy machine learning and statistical models for forecasting, classification, clustering, and optimization.
Partner with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.
Build data pipelines and workflows to support model development and deployment.
Perform exploratory data analysis and feature engineering to enhance model performance.
Design and execute A/B testing and experimentation frameworks to evaluate business initiatives.
Communicate findings, recommendations, and technical concepts clearly to both technical and non-technical audiences.
Monitor model performance and recommend improvements to ensure continued accuracy and relevance.
Collaborate with data engineers and architects to ensure data quality, governance, and scalability of solutions.
Stay current with emerging trends, tools, and best practices in data science, machine learning, and AI.
Develop, validate, and deploy machine learning and statistical models for forecasting, classification, clustering, and optimization.
Partner with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.
Build data pipelines and workflows to support model development and deployment.
Perform exploratory data analysis and feature engineering to enhance model performance.
Design and execute A/B testing and experimentation frameworks to evaluate business initiatives.
Communicate findings, recommendations, and technical concepts clearly to both technical and non-technical audiences.
Monitor model performance and recommend improvements to ensure continued accuracy and relevance.
Collaborate with data engineers and architects to ensure data quality, governance, and scalability of solutions.
Stay current with emerging trends, tools, and best practices in data science, machine learning, and AI.
Benefits
10 days of paid annual leave (plus sick leave and national holidays).
Maternity & paternity leave plans.
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
Retirement savings plans.
A higher education certification policy.
Commuter benefits (varies by region).
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
A flat and approachable organization.
A truly diverse, fun-loving, and global work culture.
Maternity & paternity leave plans.
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
Retirement savings plans.
A higher education certification policy.
Commuter benefits (varies by region).
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
A flat and approachable organization.
A truly diverse, fun-loving, and global work culture.
