• Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. • Support the data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable. • Build reusable technology that enables teams to ingest, store, transform, and serve their own data products. • Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure.

• Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. • Support the data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable. • Build reusable technology that enables teams to ingest, store, transform, and serve their own data products. • Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure.

• Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. • Support the data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable. • Build reusable technology that enables teams to ingest, store, transform, and serve their own data products. • Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure.

Role Description Sr. Data Engineer (Boston MA) wanted for business analytics and planning co. Requires Masters in Computer Science or Electrical Engineering. Remote employment possible, work from anywhere. To apply please mail your resume to the Cervello office at: 155 Seaport Blvd Floor 2 Boston, MA 02210 Base salary range: $140,130 - $160,000. It is important to note that at Cervello, Inc. it is not typical for an individual to be hired at the top of the range for their role. Individual salaries within each range are determined through a wide variety of factors, including but not limited to education, experience, knowledge, and skills. Cervello, Inc. reviews compensation regularly and may adjust base salaries to reflect market competitiveness. In addition to salary, individuals may be eligible for a discretionary performance bonus. Qualifications - Masters in Computer Science or Electrical Engineering Requirements - Remote employment possible, work from anywhere Benefits - Paid time off - Paid sick leave - 401(k) match and profit sharing - Medical, dental, and vision coverage - Healthcare concierge services - Backup child/adult care - Annual employer HSA contributions - Home office stipend - Subsidized gym membership - Annual wellness program - Leaves of absence when needed to support employees’ physical, mental, and emotional well-being Company Description Cervello, Inc. prides itself on providing a culture where our employees belong and thrive equally, which means our people feel comfort, confidence, and joy as they do great things for our firm, our colleagues, and our clients. That’s why Cervello, Inc. is committed to building a diverse workforce and inclusive environment. Cervello, Inc. is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race or ethnicity, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. We encourage everyone to apply, including those who may not feel historically represented in consulting.