Data Scientist

Veriipro; Cambridge (MA); On-site; USD 85,000 - 120,000; Full time

Job summary

Veriipro in Cambridge, Massachusetts is seeking a data scientist to develop and optimize machine learning models and perform advanced data analysis. The role requires expertise in Python and data science libraries, collaboration with cross‑functional teams, and the ability to communicate technical findings effectively.

Ideal candidates will be experienced with large datasets, anomaly detection, and predictive analytics, and should demonstrate strong analytical and problem-solving skills as well as the ability to manage multiple projects in a fast-paced environment.

Qualifications

• Expertise in Python and data science libraries.
• Experience with machine learning and statistical modeling.
• Knowledge of data mining and predictive analytics.

Responsibilities

• Develop and optimize machine learning models.
• Perform advanced data analysis and visualization.
• Collaborate with cross‑functional teams to deliver solutions.

Skills

Python

Data science libraries

Machine learning

Statistical modeling

Optimization techniques

Data mining

Anomaly detection

Predictive analytics

AWS

Docker

Git

PostgreSQL

Job description

Key Responsibilities

• Develop and optimize machine learning and statistical models for anomaly detection, predictive analytics, and process optimization.
• Perform advanced data analysis, visualization, Bayesian modeling, and Monte Carlo simulations.
• Implement real-time monitoring solutions for data streams and system performance.
• Analyze large and complex datasets to identify trends, anomalies, and root causes.
• Improve alert accuracy and reduce false positives through model tuning and threshold optimization.
• Collaborate with cross‑functional teams including product management, engineering, manufacturing, and IT to deliver scalable data solutions.
• Apply data science and software engineering best practices for robust and reproducible model deployment.
• Support data quality, security, and automated analytics pipelines.
• Research and integrate emerging AI/Generative AI capabilities to improve operational efficiency and experimentation.
• Communicate technical findings and recommendations to both technical and non‑technical stakeholders.

Required Skills

• Strong expertise in Python and data science libraries such as Pandas, scikit‑learn, and Jupyter.
• Experience with machine learning, statistical modeling, optimization techniques, and feature engineering.
• Knowledge of data mining, anomaly detection, and predictive analytics.
• Experience working with large and unstructured datasets.
• Familiarity with AWS, Docker, Git, and software development best practices.
• Working knowledge of relational databases such as PostgreSQL.
• Strong analytical, problem‑solving, and communication skills.
• Ability to manage multiple projects in a fast‑paced environment.