Data Scientist Data & Analytics 100% Remote (USA)

Seek; Nashville (TN); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Seek's Insight Cloud team is seeking a Data Scientist to explore subscriber and publisher data, build analytical models, and apply ML techniques to uncover trends that drive industry-wide improvements.

You will collaborate with BI developers, data engineers, and business stakeholders to deliver analytics apps and visualizations that translate complex data into actionable insights. A Bachelor's degree in a related field is required. Strong communication and problem-solving skills are essential.

Qualifications

• 1+ year of experience in data science or data analytics.
• Proficiency in Python libraries for data transformation, regression, classification, and clustering.
• Experience in data prep and feature engineering.
• Proficient SQL skills: joins, subqueries, window functions, CTEs, aggregations, and complex manipulations.
• Experience with data visualization tools or dashboards.
• Strong communication and independent problem solving.
• Bachelor's degree in data science, statistics, CS, or related field.

Responsibilities

• Analyze large, sparse datasets to extract patterns using advanced statistical methods and ML.
• Construct and maintain data processing workflows for efficient mapping and transformation.
• Perform data enrichment by sourcing additional datasets with publisher data.
• Develop complex queries and scripts to transform and model data.
• Translate business challenges into analytical frameworks and data-driven solutions.
• Assist BI developers in creating interactive dashboards for intuitive visualizations.
• Collaborate with BI, data engineering, data scientists, and stakeholders to align with goals.
• Write documentation for models, pipelines, and workflows.

Skills

Python (data science)

SQL

Data visualization

Communication

Problem solving

Education

Bachelor's degree in a related field

Tools

PySpark

SnowPark

Git

Snowflake

Redshift

Databricks

Job description

Insight Cloud is the intelligence platform for the modern analyst. It combines analytics apps from the industry's leading publishers with AI agents to deliver answers you can't get anywhere else, instantly.
Our Data Science team builds the models behind that intelligence and insights. Your work will involve exploring subscriber and publisher data sets, improving existing apps, developing analytical models, and applying machine learning techniques to uncover trends, patterns, and insights that generate significant improvements to industry-wide practices. You will collaborate closely with stakeholders to build and launch new analytics apps, ensuring the insights generated are delivered through Insight Cloud.

What you'll be doing

• Analyze large, sparse, and messy datasets to extract meaningful patterns, trends, and insights using advanced statistical methods and machine learning algorithms.
• Construct and maintain data processing workflows, ensuring efficient mapping and transformation of source data.
• Perform data enrichment by sourcing additional datasets and integrating them with publisher data to enhance analytical depth and accuracy.
• Develop complex queries and scripts to transform and model data, tailoring configurations and fine-tuning parameters for optimal performance.
• Translate business challenges into analytical frameworks, proposing and implementing data-driven solutions that have a tangible impact on our subscribers’ decision‑making processes.
• Assist our BI Developers in creating interactive dashboards that provide intuitive visualizations of data insights, enabling users to derive clear, actionable information.
• Work closely with BI developers, data engineers, other data scientists and business stakeholders to ensure that models are aligned with business goals and technical requirements.
• Write clear and comprehensive documentation for models, pipelines, and workflows to facilitate collaboration and reproducibility.

Requirements

• 1+ year of experience in data science or data analytics
• Proficiency in common data science Python libraries for data transformation, regression, classification, and clustering
• Experience in data prep and feature engineering including cleaning, normalizing, transforming, and selecting relevant features from raw data
• Proficient SQL skills: joins, subqueries, window functions, common table expressions (CTEs), aggregations, complex string manipulations, stored procedures and functions
• Experience with data visualization tools and techniques or dashboarding products
• Excellent problem‑solving and creative thinking skills with ability to drive complex data analysis and development forward independently
• Strong communication skills with the ability to present data and articulate complex technical concepts clearly and concisely
• Bachelor's degree in data science, statistics, computer science, or a related field.

Preferred Experience

• Experience with PySpark or SnowPark for Python, SQL user‑defined functions and table functions (UDFs & UDTFs)
• Familiar with version control like GitHub or Gitlab and production deployment pipelines
• Experience working with large‑scale datasets directly within cloud data warehouses such as Snowflake, DataBricks, or Redshift
• ML performance optimization experience: efficient computation, parallel processing, hyperparameter turning, model pruning, and quantization

Seek is on a mission to change how businesses make decisions. Analysts spend most of their time gathering data and building reports, which leaves little time for the judgment that moves a business forward. We believe a platform should deliver the answers so analysts can spend that time deciding.

We built Insight Cloud, the intelligence platform for the modern analyst. It brings together proprietary data from the industry's leading publishers, embedded business expertise, and AI‑powered intelligence. Seek is headquartered in Nashville and backed by Eldridge Industries. We're a focused team of engineers, data experts, and industry veterans powering the next $1T in business decisions.