Senior Data Scientist

Match Point Solutions • Columbus, OH

16h

About The Position

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US . We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India . Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise. We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related fields.
• 5+ years of experience in data science, or related fields.
• Strong expertise in machine learning & deep learning frameworks like scikit-learn, TensorFlow, or PyTorch.
• Very good proficiency in SQL,Python, Pyspark for data science and ML.
• Strong foundation in probability, statistical analysis, and optimization techniques.
• Ability to work on complex business challenges and translate data insights into actionable solutions.
• Experience with cloud-based data management (AWS, GCP, Azure).
• Strong understanding of data architecture, data modeling, and data governance.
• Experience in Predictive maintenance, time series forecasting and anomaly detection.
• Hands-on knowledge of data visualization tools like Tableau, Power BI, or D3.js.
• Strong communication and collaboration skills, with experience working in cross-functional teams.
• Experience with Agile development methodologies and version control systems (e.g., Git).

Nice To Haves

• Good to have experience in automotive domain.

Responsibilities

• Design, develop, and deploy advanced data models and algorithms using machine learning, deep learning, and statistical techniques to drive business decisions.
• Develop and deploy predictive models using machine learning frameworks like scikit-learn, TensorFlow, or PyTorch to forecast business outcomes.
• Analyze large datasets to identify trends, patterns, and correlations, and interpret findings to inform business decisions.
• Develop and maintain high-quality, maintainable code using object-oriented programming principles, ensuring scalability, efficiency, and reliability.
• Develop and maintain data visualizations and dashboards to communicate insights and findings to business stakeholders using tools like Tableau, AWS Quicksight, Power BI, or D3.js or others depending on the requirement of the customer.
• Collaborate with cross-functional teams, including data engineering, data analytics, software developers, testers, cloud architects and business stakeholders to deliver complex data projects, ensuring alignment with business objectives and technical requirements.

What This Job Offers

• Career Level: Senior