Senior Data Scientist at ACCUDATA

Kirkland, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, Statistics, Data Analysis, Predictive Modeling, Data Pipelines, A/B Testing, Cloud Platforms, Big Data Technologies, Deep Learning, MLOps, Identity Resolution, Data Privacy, Feature Engineering

Industry

Advertising Services

Description

Description Deep Sync is the industry leader in deterministic identity. Leveraging our 35-year foundation of compiling direct mail-grade datasets, Deep Sync develops data-first technologies that power marketing, measurement, AI, and business intelligence for agencies and brands with our fully deterministic identity graph, privacy-first audiences, comprehensive data solutions, and integrations with leading platforms and cloud providers. We are seeking a Senior Data Scientist to drive advanced analytics, machine learning, and data-driven decision-making across the organization. In this role, you will work closely with engineering, product, and business stakeholders to design, build, and deploy models that solve real-world problems at scale. You will be expected to operate as both a hands-on practitioner and a technical leader, owning projects end-to-end—from problem formulation and data exploration to model deployment and impact measurement. Responsibilities: Partner with product, engineering, and business teams to translate ambiguous problems into data science solutions Design, develop, and deploy statistical models and machine learning algorithms in production environments Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights Build and evaluate predictive, classification, clustering, and/or recommendation models for identity resolution and audience segmentation Analyze large, complex datasets to extract actionable intelligence and drive data-informed decision making Build and optimize data pipelines (ETL) to support machine learning models in production Define success metrics and measure model and business impact over time Communicate findings clearly to both technical and non-technical audiences Collaborate with data engineers on data pipelines, feature engineering, and scalable model deployment Mentor junior data scientists and contribute to data science best practices Influence data strategy, tooling, and model governance across teams Requirements 5+ years of experience in data science, applied statistics, or machine learning Master’s or PhD in Computer Science, Physics, Mathematics or related quantitative field Strong proficiency in Python (e.g., pandas, NumPy, scikit-learn) Experience with SQL and working with large, complex datasets Solid understanding of statistics, probability, and experimental design Hands-on experience deploying models into production environments Ability to clearly explain complex analyses and results to diverse stakeholders Knowledge and Skills Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with big data technologies (Spark, EMR, Databricks, etc.) Experience with deep learning frameworks (TensorFlow, PyTorch) Background in A/B testing, causal inference, or experimentation platforms Exposure to MLOps practices (model versioning, monitoring, CI/CD) Experience with identity resolution, customer segmentation, or marketing analytics Prior experience mentoring or leading data science initiatives Knowledge of data privacy regulations (GDPR, CCPA) and experience handling PII data securely Understanding of privacy-preserving machine learning techniques and anonymization methods Benefits: Flexible Time Off and Paid Holidays Medical/Vision/Dental Insurance, Voluntary Life & AD&D Insurance, Short-Term & Long-Term Disability, Critical Illness & Accident Insurance 401(k) with employer matching Hybrid with flexible work schedule Location: Kirkland, WA (First 6 months in-office; hybrid schedule available thereafter—typically remote on Mondays and Fridays, with Tuesday–Thursday in-office, subject to manager’s discretion). Registered to do business and willing to consider fully remote candidates in the following states; California, Colorado, Florida, Georgia, Missouri, New York, Oregon, South Carolina, Tennessee, Texas, and Washington. Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Equal Opportunity Employer: Deep Sync provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Please Contact: Human Resources | hr@deepsync.com

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Responsibilities

The Senior Data Scientist will partner with product, engineering, and business teams to translate ambiguous problems into data science solutions and design, develop, and deploy statistical models and machine learning algorithms. They will also analyze large datasets to extract actionable intelligence and mentor junior data scientists.