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Algorithm Scientist Jobs in Groveland, MA (NOW HIRING)

You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high ... Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib

As a Senior Data Scientist, you will develop disruptive technologies focused on signals ... edge algorithms for novel application domains and modalities. • Explore fascinating datasets ...

You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high ... Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Prioritizes, scopes and manages data science projects for internal stakeholders and clients.

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Algorithm Scientist information

See Groveland, MA salary details

$52.8K

$116.5K

$143.9K

How much do algorithm scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for algorithm scientist in Groveland, MA is $116,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $143,400.00 per year, depending on experience, location, and employer.

What is an algorithm scientist?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

How does an algorithm scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are the key skills and qualifications needed to thrive as an algorithm scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.

What cities near Groveland, MA are hiring for Algorithm Scientist jobs?

Cities near Groveland, MA with the most Algorithm Scientist job openings:

Infographic showing various Algorithm Scientist job openings in Groveland, MA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,508 per year, or $56 per hour.

Lead, Data Scientist - Decision Sciences Identity Team

Publicis Groupe Holdings B.V

Wakefield, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Key responsibilities

  • Contribute to data science and machine learning research and development projects.

  • Implement and optimize algorithms in distributed environments to develop scalable identity solutions.

  • Collaborate with engineering and product teams to translate research into production technologies.


Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 52 rated marketing agency


Job description

Company DescriptionOverview

Epsilon's Decision Sciences Identity (DSI) team seeks a PhD-level Lead Research Scientist to advance the Identity Resolution Platform that powers real-time digital marketing at internet scale. You will contribute to research and development initiatives that expand identity capabilities across Epsilon's marketing businesses, transforming novel ideas into production technologies with measurable business impact.

This role sits at the core of Epsilon's identity platform, tackling complex, ambiguous problems using large-scale data. Working closely with engineering and product teams, you will apply analytical rigor, creativity, and strong computer science fundamentals to develop scalable identity solutions that improve marketing performance for leading brands.

Responsibilities
  • Individually contribute to data science and machine learning R&D projects
  • Use data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems
  • Contribute to projects from early-stage research through development
  • Implement and optimize innovative algorithms in distributed environments
  • Develop an understanding of Epsilon personalization platform and proprietary datasets
  • Participate fully in our collaborative approach to research and applications projects
Qualifications

Qualifications

  • Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, Economics, Physics, Chemistry, Operations Research, or related quantitative field
  • Research experience and coursework in Machine Learning
  • Strong understanding of statistical, analytical, and predictive modeling techniques
  • Strong Python programming skills and experience with data structures, algorithms, and production-quality code development
  • 2+ years of relevant programming experience through academic research, internships, or industry work
  • Ability to code independently without AI as well as effectively leverage AI-assisted development tools
  • Proven ability to design, execute, and deliver research projects
  • Excellent communication and interpersonal skills, including ability to translate complex technical concepts for non-technical audiences
  • Self-motivated, highly organized, and collaborative, with the ability to manage multiple priorities in highly collaborative, team-oriented environments

Additional, But Not Required Skills 

  • Experience with graphs/networks and unsupervised clustering algorithms (community detection on graphs)
  • Experience working with large, complex datasets in research or production environments
  • Experience with distributed computing and large-scale data processing (Spark, Hadoop, Databricks, cloud databases)
  • Experience with cloud platforms and data ecosystems (AWS, S3, Databricks)
  • Proficiency in SQL, Scala, Spark libraries, and advanced database querying
  • Familiarity with LLMs, Generative AI, and agentic frameworks
  • Experience in one or more advanced domains: Community Detection on Graphs, Unsupervised Learning, NLP, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference
  • Ability to partner with business and technical collaborators to deploy algorithms into production platforms
  • Experience translating research innovations into scalable, customer-facing products
  • Additional research experience in computational fields such as data science, AI/ML, statistics, computer science, or graph algorithms

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Additional Information

When you join Epsilon, we'll create something EPIC together. We're a global leader in data and identity, with deep expertise in digital media, clean rooms, customer data platforms, loyalty and marketing services. Positioned at the center of Publicis Groupe, Epsilon helps brands deliver personalized experiences at scale and build lasting customer relationships by unlocking the full potential of data and identity. Epsilon operates in 30+ countries across EMEA, the Americas and APAC, with more than 8,000 employees.

Check out a few of these resources to learn more about what makes Epsilon so EPIC:

Our Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon

Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog

Epsilon has five values that define our culture and guide us as we create value for our clients, our people and consumers. We seek candidates who align with our company values, demonstrate them and make them meaningful in their day-to-day work:

  • Act with integrity. We are transparent and have the courage to do the right thing.
  • Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.
  • Innovate with purpose. We shape the market with big ideas that drive big outcomes.
  • Respect all voices. We embrace differences and foster a culture of connection and belonging.
  • Empower with accountability. We trust each other to own and deliver on common goals.

Because You Matter

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to:

  • Time to recharge: Flexible time off (FTO), 14 paid holidays, paid sick time
  • Family well-being: Parental/new child leave, childcare & elder care assistance, adoption assistance
  • Extra perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Epsilon benefits are subject to eligibility requirements and other terms.

Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants who need accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider qualified applicants with criminal histories for employment in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. 

#LI-IP1

 Compensation Range: USD $87,100.00 - USD $173,700.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/7/2026.Employment Type: FULL_TIME

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