Senior Data Scientist
MatchPointAbout the role
Job Title: Senior Data Scientist
Location: Columbus, IN
Employment Type: Fulltime/Perm
Responsibilities:
Design and Develop Advanced Data Models: Design, develop, and deploy advanced data models and algorithms using machine learning, deep learning, and statistical techniques to drive business decisions.
- Predictive Modeling: Develop and deploy predictive models using machine learning frameworks like scikit-learn,
TensorFlow, or PyTorch to forecast business outcomes.
- Data Analysis and Interpretation: Analyze large datasets to identify trends, patterns, and correlations, and interpret
findings to inform business decisions.
- Code Quality and Maintainability: Develop and maintain highquality, maintainable code using object-oriented
programming principles, ensuring scalability, efficiency, and reliability.
- Data Visualization and Storytelling: 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.
- Communication and Collaboration: Collaborate with crossfunctional 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.
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.
- Statistics & Math: Strong foundation in probability, statistical analysis, and optimization techniques.
Problem-Solving:
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 maintanance, 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).
- Good to have experience in automotive domain.
Responsibilities
- Design and develop advanced data models and algorithms using machine learning, deep learning, and statistical techniques.
- Develop and deploy predictive models using machine learning frameworks.
- Analyze large datasets to identify trends, patterns, and correlations.
- Develop and maintain high-quality, maintainable code using object-oriented programming principles.
- Develop and maintain data visualizations and dashboards to communicate insights.
- Collaborate with cross-functional teams to deliver complex data projects.
Qualifications
- 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.
- Proficiency in SQL, Python, and Pyspark.
- Strong foundation in probability, statistical analysis, and optimization techniques.
- Experience with cloud-based data management.
- Strong understanding of data architecture, data modeling, and data governance.
- Experience in predictive maintenance, time series forecasting, and anomaly detection.
Skills mentioned
About MatchPoint
Born in Silicon Valley, 2006. Our ambition was to craft world-class teams to empower businesses facing tech's relentless tide. But ambition evolved. We saw beyond mere teams, towards engineering groundbreaking products, hand-in-hand with clients. Beginning with modest origins, we've evolved into trusted advisors serving over 120 companies across 12 countries, grounded in three fundamental pillars of talent: 1. Innovation: With a worldwide presence and an unwavering commitment to personalized service, we create bespoke solutions that pave the way for success. 2. Excellence: We meticulously select the top 1% of talent, merging global perspectives with local proficiency, and nurturing relationships built on trust. 3. Effectiveness: Setting ourselves apart with agility and promptness, we deliver concrete, industry-defining results swiftly and decisively. These principles form the cornerstone of our values, garnering steadfast loyalty from clients around the globe. Going beyond the conventional role of consultants, we emerge as strategic partners, infusing energy into software and products that challenge conventions and ignite transformative progress. 17 years, 2200+ strong, we've built 500+ success stories. We've helped 40+ startups launch impactful products, used by millions daily. And our 98% client retention speaks volumes - they trust us as their go-to transformation partners. But MatchPoint is more than just business. We're driven by a desire to make the world a better place. Diversity and inclusion are our DNA. We champion women in leadership and tech, cultivating a global team that delivers cutting-edge solutions with excellence and genuine client satisfaction.