Data Scientist - US Remote

About the role:

At Seek, we’re redefining how businesses harness analytics through our innovative ML cloud platform and app store. The Data Science team is central to our mission making advanced analytics and machine learning applications accessible to a variety of businesses. 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 can generate significant improvements to industry-wide practices.

You will collaborate closely with stakeholders to build and launch new analytics apps, ensuring that the
insights generated are accessible through Seek’s Insight Cloud.

In this role you will get to:

• Analyze large, sparse, and messy datasets to extract meaningful patterns, trends, and insights usingadvanced statistical methods and machine learning algorithms.
• Construct and maintain data processing workflows, ensuring efficient mapping and transformation ofsource 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-drivensolutions that have a tangible impact on our subscribers’ decision-making processes.
• Assist our BI Developers in creating interactive dashboards that provide intuitive visualizations of datainsights, enabling users to derive clear, actionable information.
• Work closely with BI developers, data engineers, other data scientists and business stakeholders toensure that models are aligned with business goals and technical requirements.
• Write clear and comprehensive documentation for models, pipelines, and workflows to facilitatecollaboration and reproducibility.

Qualifications:

• 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.

We’re especially interested in you if you have:

• 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

Salary:

• The annual salary range for this position is between $105,000 - $120,000, depending on experience and qualifications.

Benefits:

• Medical Insurance, Dental Insurance, PTO, 16 annual company holidays, 401K, Vision Insurance

Tools we use:

• React, TypeScript, styled components, RSBuild, ESBuild, Webpack, Babel, Jest, Vitest, Git, GitLab CI, VS Code, Biome, Amplitude

Location

• This is an entirely remote position for candidates based in the US.

No Visa Sponsorship Available

• We do not offer visa sponsorship at this time.

What Sets Us Apart

Seek is committed to a culture that values ownership, flexibility, and collaboration. We prioritize work-life balance and encourage our team to explore new ideas, test hypotheses, and innovate continuously. You’ll join a diverse group of professionals dedicated to pushing the boundaries of business analytics development, with ample opportunities to grow alongside talented peers who value your expertise and vision.

Originally posted on Himalayas