Product Data Scientist - MARTECH

Validity; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

A leading company in the MarTech industry seeks an experienced Senior Data Scientist/Product Data Scientist. The role involves building advanced models to enhance email marketing effectiveness and drive data science application in production environments. Ideal candidates will have a strong data background and a passion for uncovering opportunities within large data sets.

Qualifications

• 3-5 years of experience in data science roles focused on production-grade models.
• Strong experience in Python, R, SQL, and machine learning frameworks.
• Proven ability to analyze large data sets to identify actionable insights.

Responsibilities

• Build and prototype analysis pipelines iteratively.
• Collaborate cross-functionally to build and communicate key insights.
• Design, build, and optimize predictive models for email marketing campaigns.

Skills

Data exploration

Analytical thinking

Python

R

Machine Learning

SQL

Data visualization

Problem-solving

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics or related field

Tools

Scikit-learn

TensorFlow

AWS

GCP

Azure

Tableau

Power BI

Job description

About the Role
We are hiring for an experiencedSenior Data Scientist/Product Data Scientist with a minimum of 3-years directly-related SaaS industry experience (Martech/Email Marketing Software)to join our team, focusing 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 be successful, 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 generation 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 Scientistlevel, 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 for data querying and manipulation.
  • Familiarity with cloud-based environments and tools (e.g., AWS, GCP, or Azure) for model deployment.
• Data Exploration and Analysis:
  • Proven ability to work with large data sets to perform exploration and identify actionable insights.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) for presenting findings effectively.
  • Ability to manipulate large data sets with high dimensionality and complexity.
• Model Development and Productionalization:
  • Hands-on experience in building, testing, and deploying machine learning models in production.
  • Knowledge of machine learning operations (MLOps) practices and tools for model monitoring and maintenance.
  • Extensive experience solving analytical problems using quantitative approaches including Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields.
• Collaboration & Communication:
  • Excellent communication skills for working effectively with product managers, engineers, and cross-functional teams.
  • Experience working closely with legal or compliance teams to align data science practices with regulatory requirements.
• Problem-Solving:
  • Strong problem-solving skills and an analytical mindset with a keen ability to adapt solutions to changing business needs.
  • A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output.

Preferred Experience, Skills, and Education

• Bachelor’s degree or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Direct experience in email marketing metrics, challenges, and optimization techniques.

#li-remote

About Validity

For over 20 years, tens of thousands of organizations across the world have relied on Validity solutions to target, contact, engage, and retain customers – using trustworthy data as a key advantage. Validity’s flagship products – Everest, DemandTools, BriteVerify, a nd GridBuddy Connect – are all highly rated, #1 solutions for sales and marketing professionals. These solutions deliver smarter email campaigns, more qualified leads, more productive sales, and ultimately faster growth.

Validity is a truly unique company - massive revenue growth, top-tier investors, 5-star product ratings, proven ability to acquire and integrate top tech companies and welcome them into the Validity family, a winning culture, and a work environment that fosters hard work, trust, and fun.

Headquartered in Boston, Validity has offices in Denver, London, Sao Paulo, and Sydney. For more information, connect with us on LinkedIn, Instagram, and Twitter.

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