BarCode ID Systems (now Inovity) · 17 hours ago
Data Scientist (Hybrid on-site)
Franklin, MA
Full-time
Hybrid
Entry Level
1+ years expPeak Technologies is a leader in enterprise mobility and data capture solutions. They are seeking a motivated Data Scientist to support the development of intelligent automation, analytics, and AI solutions by analyzing large datasets and building predictive models.
Information Technology & Services
Responsibilities
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
Qualification
Required
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
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
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
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
Preferred
Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and tools such as Vertex AI is preferred
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
Company
BarCode ID Systems (now Inovity)
BarCode ID Systems was established in 1993 and formally changed its name and branding to Inovity on April 4, 2016.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase