Data Scientist; Hybrid on-site

Posted Thursday, January 29, 2026 at 6:00 AM

For over 35 years, Peak Technologies has been at the forefront of providing end-to-end enterprise mobility, managed services, printing and mobile data capture solutions for performance-driven organizations focused on the optimization of supply chain and field-based business processes.

• Job Title: Data Scientist
• Location: Franklin, MA
• Schedule :
  Mon-Fri 8-5/9-6, hybrid on-site Tu/Th

JOB SUMMARY & SCOPE

Peak Technologies is seeking a motivated and analytical Data Scientist to help advance our data-driven strategy and support the development of intelligent automation, analytics, and AI solutions across the business.

In this role, you will analyze large datasets, build predictive and generative models, and translate data into actionable insights that enhance operational efficiency and customer outcomes. You will also have opportunities to explore emerging technologies such as Large Language Models (LLMs), Large Vision Models (LVMs), and other machine learning and computer vision techniques to bridge the gap between research and business application.

This position requires strong problem-solving skills, solid technical proficiency, and a genuine passion for using data to drive measurable impact in a fast-paced, collaborative environment.

KEY ACCOUNTABILITIES

• Collect, clean, and preprocess large datasets from multiple sources while ensuring data accuracy, consistency, and integrity.
• Apply statistical methods, hypothesis testing, and exploratory data analysis to identify trends and opportunities.
• Develop and deploy machine learning and predictive models to support data-driven decision-making and product innovation.
• Research, prototype, and evaluate AI and ML models, including LLMs, LVMs, and other cutting-edge algorithms.
• Collaborate with engineering and data annotation teams to improve data pipelines, tagging accuracy, and supervised learning processes.
• Create clear, impactful visualizations, dashboards, and reports for technical and non-technical audiences.
• Design and interpret A/B and multivariate tests to measure the impact of business changes or feature deployments.
• Maintain documentation for data sources, transformation logic, and model development processes.
• Participate in code reviews, model evaluations, and team knowledge-sharing sessions to promote best practices.
• Ensure compliance with data governance, privacy, and security standards across all data projects.

EDUCATION + EXPERIENCE + KEY TRAITS

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Artificial Intelligence, or a related field.
• Minimum 1 year of experience in a data science, applied AI, or analytical role (internship or postgraduate research experience may qualify).
• Proficiency in Python, R, and SQL, including experience with frameworks such as scikit-learn, Tensor Flow, or PyTorch.
• Strong understanding of statistical modeling, data visualization, and machine learning evaluation techniques.
• Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and tools such as Vertex AI is preferred.
• Excellent communication skills with the ability to explain complex concepts to diverse audiences.
• Detail-oriented, proactive, and comfortable working collaboratively across cross-functional teams.
• Passionate about innovation, continuous learning, and contributing to a data-driven culture at Peak Technologies.

BONUS EXPERIENCE (Preferred but Not Required)

• Hands-on experience with Natural Language Processing (NLP) or Computer Vision tasks (e.g., text classification, image tagging, or sentiment analysis).
• Exposure to data warehousing, ETL processes, or data engineering workflows.
• Contributions to open-source projects or research publications in data science or artificial intelligence.

• SERVICE DELIVERY:
  Sustained, measured excellence in project & process delivery
• COST TO SERVE:
  Sustained, measured excellence in delivery efficiency with expected continuous improvement
• INNOVATION:
  Step changed delivery in safety, quality, and/or cost

• Primary language used in daily operations is English. Additional primary company languages include Spanish, French, and Dutch.
• Read and interpret documents, procedure manuals and various correspondence from both internal and external.
• Speak effectively, both individually and before groups of both external customers and/or various levels of employees within the organization.

• Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

• Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

• To perform this job successfully, an individual should have knowledge of Microsoft Office suite, Excel, and Word specifically. CRM skills required.

• Role does not require…