Loading...
Data Scientist (Hybrid on-site)
Peak Technologies
H1B ✓Hybridentry levelPosted April 1, 2026
About the Role
The Data Scientist will analyze large datasets and build predictive models to enhance operational efficiency and customer outcomes. They will also explore emerging technologies and collaborate with engineering teams to improve data processes.
Requirements
Candidates should have a Bachelor's or Master's degree in a relevant field and at least 1 year of experience in data science or a related role. Proficiency in programming languages such as Python and R, along with strong analytical skills, is required.
Full Job Description
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, TensorFlow, 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.
TYPICAL PERFORMANCE TARGETS
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
LANGUAGE SKILLS
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.
MATHEMATICAL SKILLS
Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
REASONING ABILITY
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.
COMPUTER SKILLS
To perform this job successfully, an individual should have knowledge of Microsoft Office suite, Excel, and Word specifically. CRM skills required.
SUPERVISION
Role does not require supervision of direct and indirect reports.
DECISION MAKING + REASONING
Able to take accountability and responsibility for business target delivery and decision making.
Possess a unique blend of business and technical savvy, a big-picture vision, and the drive to make that vision a reality.
PHYSICAL REQUIREMENTS
Activity
Amount of Time
None
Under 1/3
1/3 to 2/3
Over 2/3
Stand
X
Walk
X
Sit
X
Use hands to finger, handle, or feel
X
Reach with hands and arms
X
Climb or balance
X
Stoop, kneel, crouch, or crawl
X
Talk or hear
X
Lift Up to 25lbs
X
Travel
X
Peak Technologies, Inc. is an Equal Opportunity Employer who fully and actively supports equal access for all people regardless of Race, Color, Religion, Gender, Age, National Origin, Veteran Status, Disability, Genetic Information or Testing, Family and Medical Leave, Sexual Orientation and Gender Identity or Expression.
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, TensorFlow, 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.
TYPICAL PERFORMANCE TARGETS
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
LANGUAGE SKILLS
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.
MATHEMATICAL SKILLS
Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
REASONING ABILITY
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.
COMPUTER SKILLS
To perform this job successfully, an individual should have knowledge of Microsoft Office suite, Excel, and Word specifically. CRM skills required.
SUPERVISION
Role does not require supervision of direct and indirect reports.
DECISION MAKING + REASONING
Able to take accountability and responsibility for business target delivery and decision making.
Possess a unique blend of business and technical savvy, a big-picture vision, and the drive to make that vision a reality.
PHYSICAL REQUIREMENTS
Activity
Amount of Time
None
Under 1/3
1/3 to 2/3
Over 2/3
Stand
X
Walk
X
Sit
X
Use hands to finger, handle, or feel
X
Reach with hands and arms
X
Climb or balance
X
Stoop, kneel, crouch, or crawl
X
Talk or hear
X
Lift Up to 25lbs
X
Travel
X
Peak Technologies, Inc. is an Equal Opportunity Employer who fully and actively supports equal access for all people regardless of Race, Color, Religion, Gender, Age, National Origin, Veteran Status, Disability, Genetic Information or Testing, Family and Medical Leave, Sexual Orientation and Gender Identity or Expression.