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Product Data Scientist - MARTECH

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Boston (MA)

Remote

USD 100,000 - 130,000

Full time

Today
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Job summary

A leading company in Boston is seeking an experienced Senior Data Scientist/Product Data Scientist to enhance their MarTech product. The role focuses on building advanced models to improve email campaign performance, collaborating with cross-functional teams, and ensuring compliance with industry regulations. Ideal candidates will have strong analytical skills and experience with large datasets.

Qualifications

  • 3-5 years of experience in data science roles.
  • Experience with machine learning frameworks and cloud environments.

Responsibilities

  • Build and prototype analysis pipelines to provide insights.
  • Develop end-to-end solutions for data generation.
  • Collaborate with product teams to integrate models.

Skills

Data Exploration
Problem-Solving
Collaboration

Education

Bachelor’s or Master’s degree in Data Science

Tools

Python
R
SQL
Tableau
TensorFlow

Job description

Job Description

About the Role

We are hiring an experienced Senior Data Scientist/Product Data Scientist with a minimum of 3 years of directly-related SaaS industry experience (Martech/Email Marketing Software) to join our team. The focus is on building and implementing advanced models for our MarTech product that increases the ROI of email campaigns by enhancing deliverability. The ideal candidate will have a passion for working with large data sets to identify trends, uncover opportunities, and drive the application of data science techniques that can be efficiently integrated into production environments. This role involves collaborating closely with product teams, working under the guidance of the SVP of Product, and maintaining compliance through regular coordination with the legal team.

Team Dynamic

Product Management at Validity is challenging, high-impact, and rewarding. To succeed, you must have strong business acumen, strategic and analytical thinking skills, and process orientation. Additionally, you should be a champion for positive impact and be ready to tackle day-to-day problems with humility and humor.

Position Duties and Responsibilities
  • Build and prototype analysis pipelines iteratively to provide insights at scale by leveraging comprehensive knowledge of data structures and metrics.
  • Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences inside the Validity product suite.
  • Develop end-to-end solutions: identify data sources, develop API & ETL processes to generate production-ready datasets, perform data validation, and build dashboards.
  • Serve as an automation solutions architect: develop a framework for connecting and aggregating disparate data efficiently; streamline processes to ensure quick/real-time reporting to internal and external stakeholders; create reusable templates that can be used to support dashboard design and delivery.
  • Develop and integrate internal and external client-facing reporting to ensure relevant metrics and insights are shown and understood.
  • Analyze and explore large data sets to identify meaningful trends, insights, and opportunities for data science applications within the MarTech domain, particularly in email deliverability.
  • Design, build, and optimize predictive and prescriptive models to increase customers’ revenue via improved email deliverability rates and overall email campaign performance.
  • Collaborate with product teams to integrate models into customer-facing products, ensuring seamless user experiences.
  • Develop scalable solutions for deploying models into production, including maintaining model performance and reliability.
  • Work closely with the legal team to ensure all data science practices comply with industry regulations, data privacy laws, and company policies.
  • Contribute to the creation of product roadmaps by sharing insights and advising on potential data-driven solutions.
  • Stay up-to-date with industry trends and new technologies to keep the data science strategy current and effective.
Required Experience, Skills, and Education
  • Experience: 3-5 years of experience in data science roles at the Senior Data Scientist/Product Data Scientist level, with a focus on building production-grade models.
  • Technical Proficiency: Strong experience with Python, R, or similar programming languages; proficiency in machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch); advanced SQL skills; familiarity with cloud environments (AWS, GCP, Azure) for deployment.
  • Data Exploration and Analysis: Proven ability to work with large data sets, perform exploration, and identify actionable insights; experience with visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
  • Model Development and Productionalization: Hands-on experience in building, testing, deploying models; knowledge of MLOps practices; extensive experience with quantitative analytical approaches.
  • Collaboration & Communication: Excellent communication skills; experience working with legal or compliance teams.
  • Problem-Solving: Strong analytical mindset, attention to detail, and a results-oriented approach.
Education
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Direct experience in email marketing metrics, challenges, and optimization techniques.

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About Validity

For over 20 years, Validity has provided solutions trusted by organizations worldwide to target, contact, engage, and retain customers through smarter data-driven email campaigns. Our flagship products—Everest, DemandTools, BriteVerify, and GridBuddy Connect—are top-rated solutions for sales and marketing professionals, delivering faster growth and better engagement.

Validity is a company with significant revenue growth, top-tier investors, and a culture that fosters innovation, trust, and fun. Headquartered in Boston, with offices in Denver, London, Sao Paulo, and Sydney, we invite you to connect with us on LinkedIn, Instagram, and Twitter.

_____________________________________________________________________________

Validity is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities regardless of race, ethnicity, religion, gender, sexual orientation, disability, or other protected characteristics.

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