Data Scientist jobs in Seattle, WA

RESPONSIBILITIES:
Kforce has a client in Redmond, WA that is seeking a Data Scientist.

Responsibilities:
* Data Scientist will focus on delivering solutions rather than technology to realize the value of our data assets
* Support initiatives to democratize data and unlock self-serve capabilities which empower new data consumers to efficiently leverage the data
* To be successful, you must select, model, and prepare the best data for the solution
* Utilize the data platform and cloud infrastructure to engineer the tools and technologies needed to source, process, and deliver the data
* Collaborate with your Data Science colleagues and work directly with data consumers and stakeholders to understand their needs and evolve the Analytics Environment at the pace of the business to drive impactful outcomes
* Identify and analyze multi-structured data from a variety of sources to select the most effective and accurate data which fulfills the analytics requirements
* Design data models, architect dataflows, and create technical requirements to deliver solutions
* Build and maintain automated data pipelines to source and transform data into clean, enriched, and optimized polyglot data models which can evolve with changing needs
* Use modern data engineering practices and frameworks to create scalable big data solutions for analytics and machine learning, while ensuring data quality
* Write and maintain technical documentation for the data models and analytics solutions
* As a Data Scientist, you will assist Users with data access tools and documentation to unlock the value of the analytics data
* Provide stewardship in the creation, collection, maintenance, and documentation of metadata
* Handle confidential information responsibly and correctly apply security and privacy policies

REQUIREMENTS:
* 5 years of working as a data engineer or equivalent on large enterprise systems
* Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL/ELT, data products, or Machine Learning; Azure preferred
* API and application development experience for data access and analytics solutions
* A proven track record building and optimizing big data pipelines for analytic solutions
* Working knowledge handling logs or event streaming data sources
* Working knowledge of DevOps and DataOps including feature planning, version control, multi-environment, CI/CD, data-modeling, automation, governance, and continuous improvement
* Video game domain knowledge is important - as an experienced Player or industry veteran
* Critical thinker and problem solver who brings a creative and open mindset to each situation
* Data analysis skills to identify, select and prepare quality data for analytics use cases
* Strong Python skills for data processing combined with a pythonic mindset, Proficient SQL

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.