Data Engineer (Decision Science)

Paramount Pictures; New York (NY); Remote; USD 85,000 - 130,000; Full time

Job summary

An established industry player is seeking a Data Engineer to enhance personalization strategies through data analytics and experimentation. This role involves designing data pipelines, analyzing engagement metrics, and optimizing recommendation systems. The ideal candidate will excel in SQL, Python/R, and have experience with streaming data processing. Join a collaborative team that values innovation and data-driven decision-making, where your contributions will shape the future of engagement analytics. This is a fantastic opportunity for those passionate about data and its impact on personalization.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Life Insurance

Disability Benefits

Tuition Assistance

Paid Time Off (PTO)

Qualifications

• 2+ years in Analytics Engineering or Decision Science with expert SQL skills.
• Experience with A/B testing frameworks and statistical modeling.

Responsibilities

• Design and maintain data pipelines for engagement metrics and A/B testing.
• Communicate results and insights to technical and non-technical stakeholders.

Skills

SQL

Python/R

Streaming Data Processing

Statistical Analysis

A/B Testing

Data Validation

Data Cleaning

Education

Bachelor's Degree in a related field

Tools

Apache Superset

BigQuery

Google Cloud Platform (GCP)

Looker

dbt (Data Build Tool)

Job description

The Applied Intelligence Personalization Team at Paramount is looking for a Data Engineer - Engagement & Experimentation to join our team. This role will focus on analyzing engagement metrics, evaluating experiment results, and optimizing our recommendation and personalization strategies. The ideal candidate will be an expert in SQL, Python/R, streaming data processing, and visualization tools like Apache Superset, ensuring that insights drive impactful decision-making.

Responsibilities Include:

1. Design and maintain data pipelines and analytics frameworks to track engagement metrics and A/B test results.
2. Assist in data validation, feature engineering, and exploratory data analysis.
3. Query, clean and analyze large datasets with an emphasis on statistical analysis.
4. Develop and optimize Superset dashboards and reports for experimentation insights and KPI tracking.
5. Communicate results and recommendations to technical and non-technical stakeholders.
6. Work with large-scale structured and semi-structured datasets, designing appropriate decision science tests for analytics and reporting.
7. Monitor and analyze A/B testing results to optimize personalization models and content recommendations.
8. Implement standard processes for statistical testing, quality, and documentation.

Key Projects:

1. Develop real-time engagement tracking and experimentation analysis pipelines.
2. Optimize streaming data workflows for user behavior analysis.
3. Enhance Python scripting to support data-driven decision-making.

Basic Qualifications:

1. 2+ years of experience in Analytics Engineering or Decision Science in a high-scale environment, along with expert-level SQL skills, experience in BigQuery or other cloud-based data warehouses, and proficiency in Python/R or other scripting languages for data manipulation and statistical modeling.
2. Strong experience optimizing large-scale data queries and pipelines for performance and efficiency, along with experience building Decision Science testing or statistical modeling for A/B testing.
3. Strong analytical mindset with experience in A/B testing frameworks and experimentation methodologies, along with the ability to optimize large-scale data queries and pipelines.

Additional Qualifications:

1. Strong communication skills to collaborate with ML engineers, data scientists, and product teams.
2. Hands-on experience with dbt (Data Build Tool) for transformation workflows.
3. Knowledge of data governance and quality best practices.
4. Familiarity with Google Cloud Platform (GCP), BigQuery, and Looker.
5. Experience working with personalization and recommendation systems.
6. Strong problem-solving skills and a passion for Decision Science methodologies.
7. Interest in open-source contributions and industry standard processes for analytics engineering.

What We Offer:

1. A culture of learning focused on innovation in data analytics and personalization.
2. A collaborative team environment where data drives decision-making.
3. A remote-friendly work setup with the opportunity to work on innovative engagement analytics and experimentation frameworks.

This role is a great opportunity to shape the future of personalization through advanced data analytics, experimentation, and real-time engagement tracking.

ADDITIONAL INFORMATION

Hiring Salary Range: $85,600.00 - 130,000.00.

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [e-mail]. Only messages left for this purpose will be returned.