Senior Data Scientist | $160,000 - $200,000 | Series B | SaaS | No sponsorship offered | Hybrid (preferably in the Boston, MA area)
We are thrilled to partner with one of the East Coast’s leading Series B SaaS companies to find a Senior Data Scientist to join their dynamic team. This role is ideal for an experienced data scientist with a robust background in SQL, Python, AWS, and advanced AI and ML techniques.
Key Responsibilities:
- Lead Data Initiatives: Design, develop, and maintain advanced data pipelines and architectures using SQL and Python to support sophisticated data processing and analysis.
- Strategic Collaboration: Work closely with cross-functional teams, including product, engineering, and business units, to understand complex business requirements and deliver actionable analytical solutions.
- Advanced AWS Utilization: Leverage AWS services such as S3, EC2, and Redshift for high-performance data storage, computation, and analysis, ensuring scalability and efficiency.
- Data Engineering Excellence: Oversee the end-to-end data lifecycle, including data cleaning, preprocessing, and feature engineering to support robust analytical and machine learning models.
- Model Development and Deployment: Lead the development, validation, and deployment of advanced machine learning and AI models, applying best practices in model performance and monitoring.
- Process Optimization: Continuously optimize data processes and workflows to enhance reliability, efficiency, and scalability.
Requirements:
- Educational Background: Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
- Extensive Experience: 5+ years of hands-on experience in data science, including data analysis, machine learning, and statistical modeling with SQL and Python.
- Advanced AWS Expertise: Proficiency in utilizing AWS services for complex data handling and storage solutions.
- AI and ML Expertise: Deep experience with advanced machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and a solid understanding of AI principles and techniques.
- Modeling Skills: Proven track record in developing, validating, and deploying machine learning and AI models, with experience in model tuning and performance optimization.
- Leadership and Strategy: Proven ability to lead data-driven projects and provide strategic insights to guide business decisions.
- Analytical Prowess: Exceptional analytical and problem-solving skills with a strong attention to detail and the ability to handle complex data challenges.
- Team Collaboration: Demonstrated ability to work effectively in a collaborative team environment, mentoring junior team members and fostering a culture of innovation.
- Showcase of Expertise: A portfolio of relevant projects or a GitHub repository showcasing your data science and AI/ML skills and accomplishments.
Why This Role?
- Innovative Environment: Join a forward-thinking company that is at the forefront of SaaS, working with cutting-edge technologies.
- Professional Growth: Benefit from opportunities for professional development and mentorship from experienced leaders in the field.
- Impactful Work: Contribute to high-impact projects that drive business success and shape the future of the industry.
Salary: $160,000 - $200,000
Location: Boston, MA
Benefits:
- Unlimited PTO
- 6% 401(k)
- Hybrid working
- Full healthcare covered
If you are interested in this exceptional opportunity, please connect with Sean for further details. If you are a Senior Data Scientist seeking a pivotal role in a dynamic, inclusive, and purpose-driven organization, we invite you to reach out. To apply or to explore more about this exciting role, please contact us at sean.obrien@harmonicfinance.com or call us at +1 (617) 861-2564 .
Feel free to share this remarkable opportunity with your network of friends and contacts who may be interested in shaping the future of the SaaS space.
At Harmonic, we are dedicated to fostering an inclusive and equitable workplace. We actively welcome applications from individuals of all backgrounds and assure you that every candidate will be thoughtfully considered for the roles we represent, without regard to race, religion, gender expression, disability, or sexual orientation