Data Scientist - US Remote

Seek•,

2d•$105,000 - $120,000•Remote

About The Position

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.

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.

Nice To Haves

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

Responsibilities

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.