Peak Technologies, Inc. · 17 hours ago
Data Scientist (Hybrid on-site)
Franklin, MA
Full-time
Hybrid
Entry Level
1+ years expPeak Technologies has been a leader in enterprise mobility and managed services for over 35 years. They are seeking a motivated and analytical Data Scientist to advance their data-driven strategy and develop intelligent automation, analytics, and AI solutions across the business.
ConsultingInformation ServicesInformation Technology
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
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
Peak Technologies, Inc.
Peak-Ryzex is now Peak Technologies, Inc.
501-1000 employees
H1B Sponsorship
Peak Technologies, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
Funding
Current Stage
Late StageLeadership Team
Bradley Watkins
Partner Service Delivery Manager
Sybil Randolph, MA, SPHR, SHRM-SCP
HR Business Partner
Recent News
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