Junior Data Scientist
Remote Role - Pittsburgh, PA Headquarters Office
Salary Range: $77,000-$93,000
About Us
Founded in Pittsburgh, PA by Carnegie Mellon University alumni, BlastPoint is a data-driven, AI based customer intelligence product company. We sell our proven SaaS based technology to mid-sized and large organizations. Our unique data-driven customer intelligence technology allows organizations to develop predictive, action-ready, objective-oriented insights: from developing customer strategies, to optimizing customer engagement, to enabling the overall customer journey. BlastPoint’s key differentiator is its highly targeted, objective-driven intelligence.
BlastPoint is growing rapidly (300%-400% YoY), and has multiple large customers already established (billion dollars +). BlastPoint is presently engaged with large utilities, insurance and banking institutions, as well as large automakers, including Electric Vehicle manufacturers and customers in other related industries. With our rapid growth and proven technology, we are looking to build our teams quickly for continued growth and expansion into multiple industries and countries.
Why You Should Work for Us
Focus: Everyone at BlastPoint is highly motivated and driven for success. BlastPoint’s unique technology has brought significant results to our customers, creating huge opportunities for growth and developing a brand in the customer intelligence domain. BlastPoint offers an open culture to its employees, allowing them to bring new ideas and offer freedom in achieving results and objectives.
Growth: BlastPoint is poised to make a difference in customer intelligence space and is at the brink of multifold growth. BlastPoint is a fit for anyone who wants to grow their career fast, take challenges, and make it big.
Solve Challenging Problems: Customer intelligence is required in every aspect of business. BlastPoint’s platform incorporates cutting-edge approaches to geospatial data, machine learning, psychographic clustering, data enrichment, and a dynamic visualization environment–all at scale.
Have An Impact: Small but mighty, BlastPoint’s growth is due to big companies increasingly trusting us with supporting key decisions using their most sensitive data. What we do positively impacts the lives of millions of Americans (and beyond).
Make Positive Change in the World: BlastPoint is all about green value. Our solutions reduce paper consumption, help struggling families pay their bills, and promote clean energy. We also offer our platform for free to nonprofits and civic-oriented organizations.
Employee-Focused Culture: We support the individual needs of our team, from schedule and time-off flexibility to generous compensation benefits. We also tailor growth opportunities, from skills training to industry conferences.
Job Description
We are seeking a talented Junior Data Scientist to join our growing engineering team. The ideal candidate should be adept at building practical, effective machine learning models to solve real-world problems. This role will focus on developing data-driven solutions, ensuring model effectiveness, and addressing unique client challenges. The successful candidate will contribute to project delivery by designing and implementing predictive models, supporting data analysis processes, and collaborating closely with clients to drive impactful outcomes.
Primary Responsibilities:
- Develop machine learning models using customer, open-source, and proprietary data; evaluate, validate, and iterate on model performance.
Support the design and automation of our customer data analysis and insights delivery processes. - Contribute to the development of new ML solutions for emerging use cases, client needs, or market demand, and help standardize and templatize these approaches into data products.
- Serve as the technical liaison between the customer and the product, ensuring tools are effective, gathering feedback, and customizing solutions based on client requirements.
- Utilize empathy and leadership to consult with clients, understand their unique needs, and advocate for them internally and externally. This includes participating in client meetings, leading technical discussions, presenting project outcomes, and engaging in customer-facing technical interactions as necessary.
- Dedicate 60-80% of your time to client projects, 20-40% to developing internal tools or data products, and approximately 10% to account management or support tasks. The aim is to leverage client feedback to make our systems more efficient and self-service, reducing the reliance on consultative project teams.
Professional Requirements:
- 1+ years of experience in data science, machine learning, or predictive analytics; Bachelor's degree or equivalent experience in a relevant field.
Proficiency in Python and essential data science libraries such as Pandas and Scikit-Learn. - Strong foundation in statistics and experience translating business problems into machine learning or predictive analytics solutions.
- Demonstrated ability in data exploration and analysis, with the ability to uncover insights and present them through effective storytelling.
- Knowledge of machine learning and statistical techniques, including their strengths, limitations, and appropriate use cases; basic familiarity with clustering techniques (e.g., K-means, DBSCAN).
- Excellent communication skills, with the ability to present technical information to non-technical audiences.
- Ability to collaborate effectively in cross-disciplinary teams.
- Self-motivated, organized, and capable of working independently in a fast-paced environment.
- A curious and proactive problem solver, open to sharing new ideas, advocating best practices, and self-teaching as needed.
- Authorized to work in the United States.
Nice to Haves:
- Basic knowledge of AWS cloud services, with a particular focus on Amazon SageMaker and its core functionalities for building, training, and deploying machine learning models.
- Experience contributing to or developing Python libraries specifically for data science workflows, including packages that enhance data processing, modeling, and analysis.
- Proven experience in building data science pipelines, implementing MLOps practices, and monitoring machine learning models in production environments.
- Familiarity with time series forecasting, natural language processing, or recommendation systems.
- Strong data visualization skills, with experience creating publication-quality visuals for high-visibility reports and a proven ability to convey complex insights from data clearly and effectively.
- Willingness to travel domestically for company events (2-4 times per year).
Benefits:
- Competitive Salaries
- $500 Home Office Stipend
- Health, Dental, and Vision Insurance
- Work/Life Balance Culture
- 3 weeks of paid vacation
- 10 Paid Holidays
- Unlimited Sick Time
- 401K
Our Values:
- Everybody matters
- We beat expectations
- Innovation built on a foundation
- Cards on the table, always
- “The smartest systems from the most comprehensive data built by the best people”
