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Senior Data Science Manager Jobs in Reading, MA (NOW HIRING)

Senior Data Scientist

Boston, MA ยท On-site

$130K - $180K/yr

Own and ship innovative customer-facing data science and AI features across Tive's core roadmap ... Collaborate closely with product managers, platform engineers, and other stakeholders within a ...

Senior Data Scientist

Boston, MA ยท On-site

$150 - $210/hr

Own and ship innovative customer-facing data science and AI features across Tive's core roadmap ... Collaborate closely with product managers, platform engineers, and other stakeholders within a ...

... managing cloud-based solutions to ensure scalability, security, and performance. * Build and ... D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related ...

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Use data science and machine learning principles to develop effective predictive models * Write ...

Senior Data Scientist

Boston, MA ยท On-site

$78.70 - $138.20/hr

We are a longstanding leader in financial planning and advice, a global asset manager and an ... Contribute to ongoing expansion of data science expertise and credentials by keeping up with ...

Senior Data Scientist

Boston, MA ยท On-site

$144K - $181K/yr

Role overview As a member of the Data Science team with a focus on CarGurus's international products, the Senior Data Scientist, International will be responsible for implementing, training and ...

Build data science prototypes using Python, SQL, notebooks, APIs, and AWS-aligned data services ... US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays ...

MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field (or ... teams and managing multiple priorities in a multicultural scientific environment Preferred:

We are a longstanding leader in financial planning and advice, a global asset manager and an ... Contribute to ongoing expansion of data science expertise and credentials by keeping up with ...

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... Execution of data science initiatives, including design, development, and implementation.

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... Execution of data science initiatives, including design, development, and implementation.

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... Execution of data science initiatives, including design, development, and implementation.

Data Scientist

Boston, MA

$120K - $135K/yr

... science, analytics, machine learning, and AI to help improve customer experiences, products, and business operations. You will work closely with senior data scientists, engineers, product managers ...

Senior Data Scientist

Boston, MA ยท On-site

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the ... Fluency in Python and SQL or other similar relational database management systems. * Excellent ...

Senior Data Scientist

Boston, MA ยท Hybrid

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the ... Fluency in Python and SQL or other similar relational database management systems. * Excellent ...

What you'll need to succeed as a Senior Scientist, Data Science at XPO Minimum qualifications: * Bachelor's degree or equivalent related work or military experience * 2 years of experience in data ...

Showing results 41-60

Senior Data Science Manager information

See Reading, MA salary details

$52.2K

$134.1K

$221.1K

How much do senior data science manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior data science manager in Reading, MA is $134,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $157,200.00 per year, depending on experience, location, and employer.

How does a senior data science manager typically collaborate with cross-functional teams to drive business outcomes?

A Senior Data Science Manager often works closely with stakeholders from product, engineering, marketing, and business operations to align data-driven initiatives with organizational goals. They are responsible for translating complex analytical findings into actionable insights and ensuring that data science projects address real business needs. Effective collaboration requires strong communication skills, the ability to prioritize multiple projects, and fostering a culture of knowledge sharing across teams. By coordinating with various departments, Senior Data Science Managers help ensure that data-driven strategies lead to measurable business impact.

What does a senior data science manager do?

A Senior Data Science Manager leads a team of data scientists to develop analytical solutions that drive business decisions and strategy. They oversee the end-to-end process of data collection, model development, and deployment, ensuring projects align with organizational goals. Additionally, they mentor team members, collaborate with stakeholders across departments, and help set the vision for data-driven initiatives. Their role requires both technical expertise and strong leadership skills.

What are the key skills and qualifications needed to thrive as a senior data science manager, and why are they important?

To thrive as a Senior Data Science Manager, you need strong expertise in data analysis, statistical modeling, and machine learning, typically supported by an advanced degree in a quantitative field and significant experience leading data teams. Familiarity with tools such as Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization software is essential, along with knowledge of project management methodologies. Outstanding leadership, communication, and strategic thinking skills are crucial for aligning data initiatives with business goals and fostering team development. These abilities are vital for driving impactful analytics projects, delivering actionable insights, and ensuring the success of data-driven strategies within an organization.

What is the difference between Senior Data Science Manager vs Data Scientist?

AspectSenior Data Science ManagerData Scientist
CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles across industries

The main difference is that a Senior Data Science Manager oversees data teams and strategic initiatives, while a Data Scientist focuses on analyzing data and building models. The manager role involves leadership and project management, whereas the Data Scientist role is more technical and hands-on.

What cities near Reading, MA are hiring for Senior Data Science Manager jobs? Cities near Reading, MA with the most Senior Data Science Manager job openings:

Senior Data Scientist

Tive

Boston, MA โ€ข On-site

$130K - $180K/yr

Full-time

Re-posted 28 days ago


Job description

At Tive, we imagine a fully-transparent world in which everything and everyone is connected. We innovate beyond what the world thought possible-so what people hold near and dear arrives on time and in full.
We believe (and live!) four core values:
  • Transparency First: We make everything visible so that everyone can operate better
  • Always strive to make things simpler
  • We are One Team, we have each other's backs
  • Relentless iteration to optimize and improve

Whether shipped by road, rail, ocean, or air, Tive reduces shipment delays, minimizes rejected loads, and decreases theft, damage, and spoilage. Our customers count on Tive to ensure that their shipments are delivered on time and in full-because every shipment matters.
As a Senior Data Scientist at Tive, you will own and drive data science and machine learning features end-to-end: from problem framing, solutioning, and modeling through to production and monitoring. You will work at the intersection of AI, machine learning, geospatial intelligence, and real-world logistics data to build capabilities that turn raw signals into intelligence customers can act on. The best ideas only count if they ship.
The problems we work on don't have established playbooks. Our trackers generate a rich proprietary dataset of real-world shipment, sensor, and geospatial data, and we own it end to end, from device to platform. We work within a rich space of possibilities for delivering value to our customers.
What Our Ideal Candidate Will Do:
  • Own and ship innovative customer-facing data science and AI features across Tive's core roadmap spanning theft detection, routing intelligence, anomaly detection, and alerting.
  • Drive initiatives end-to-end from ideation, scoping, modeling, to production and deployment, with full accountability for outcomes and execution.
  • Bring creativity to unsolved problems where the right approach isn't obvious and the playbook doesn't exist yet.
  • Build with production in mind from day one. Evaluation harnesses, precision/recall tracking, shadow-mode testing, and clean handoffs to platform engineering are how we work.
  • Collaborate closely with product managers, platform engineers, and other stakeholders within a structured, outcome-oriented process.
  • Hold a high bar for quality, transparency, and rigor.

Preferred Experience:
  • 5+ years of industry data science experience, with a track record of owning initiatives end-to-end from proof of concept to production.
  • Master's, PhD, or equivalent work experience in computer science, mathematics, statistics, engineering, or a related technical field.
  • Senior-level depth in statistical modeling, ML, and modern AI/LLM techniques
  • Experience in owning ambiguous, cross-functional problems from definition through execution.
  • Strong communication skills: you can translate complex modeling decisions into clear business context for product and executive stakeholders.
  • Geospatial, supply chain, or IoT sensor data experience is a strong plus: our data is inherently spatial and physical, and domain intuition accelerates impact.
  • Strong Python skills and solid data engineering fundamentals.
  • Proficiency in SQL. Experience with dbt is a plus.
  • Hands-on experience deploying and operating ML in Snowflake, AWS, or comparable cloud infrastructure.
  • Familiarity with Agile/Scrum development methodologies.

What does Tive offer?
  • A chance to join what may very well turn out to be the most important company in your career.
  • The autonomy and resources to build what you know how to build.
  • Work with a committed global team that have each others back.
  • Office-based or hybrid options. Your choice.
  • Competitive equity to ensure all of our employees have a sense of ownership in the long-term success of Tive's growth.

Compensation:
$130,000 - $180,000 base salary
The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.
We celebrate diversity, and consider it key to our success as both a team and a company. We are proud to be an equal-opportunity employer, and we are committed to creating an inclusive environment of mutual respect for all employees.