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About the Company:
Education Data Scientist
We are looking for a Data Scientist with a drive to achieve high impact, high quality results to join the Mojang Player Data and Insights team. In this role, you will be responsible for driving insights that inform the Education strategy. You’ll partner with product and engineering teams to ensure robust
Data Scientist I
Job ID
27893
Type
Regular Full-Time
Location
US-WA-Seattle
Category
Biostatistics, Bioinformatics and Computational Biology
Overview
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seat
Job Source: Fred Hutchinson Cancer Center (Fred Hutch)
Build the future of data. Join the Snowflake team.
Founded by industry experts and backed by strategic investors, our disruptive built-for-the-cloud architecture was designed to push the limitations of conventional data warehousing.
Our teams breed ambition, challenge ordinary thinking, push the pace of innovation, in-service of the exploding dem
Data Scientist:
Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data.
Employs scaling & automation to data preparation techniques.
Determines analytics approach to solve business problems; incorporates machine learning algorithms where appropriate.
Connects insights to business decision
Do you have a passion for analyzing big data sources to generate actionable insights and solutions? If so, you might be the Data Scientist we are looking for. We are looking for a candidate who will interpret and communicate insights and findings from analysis and experiments to make recommendations to product, service, and business managers. At Mi
Job Description:
Pay Range $75hr - $80hr
Responsibilities: Work with senior management, technical and client teams to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies.
Write and code logical and physical database descriptions and specify ident
Title: Data Scientist
Location: Redmond, WA (Onsite)
Type: Contract (W2 only)
Job Description
2+ years of data scientist experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Master's degree in a quantitative field such as statistics, mathematics,
Job Title
Data Scientist
Job Description
We are looking for a data scientist to support evidence generation on Philips' Image Guided Therapy (IGT) devices and therapies from large-scale biomedical datasets, namely healthcare claims and hospital administrative data.
Your Challenge:
This role will work closely with our senior data scientist and da
Job Source: Philips
Data Scientist
Clyde Hill, WA, United States
Build the future of data. Join the Snowflake team. Founded by industry experts and backed by strategic investors, our disruptive built-for-the-cloud architecture was designed to push the limitations of conventional data warehousing. Our teams breed ambition, challenge ordinary thinking, push the pace of innovation, in-service of the exploding demand for accessible data. Snowflake is growing fast and we're scaling our team to help enable and accelerate our growth. We're passionate about our people, our customers, our values and our culture! We're also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future. And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging. Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. Snowflake's Sales Operations team is actively seeking a Data Scientist/Senior Data Scientist to join our team. In this role you will have the opportunity to build a best-in-class sales engine and influence our go-to-market strategy using data science solutions. You will leverage your extensive industry experience while collaborating with cross functional teams including sales, finance, sales strategy/operations and IT. Reporting to the Senior Director of Sales Business Intelligence & Data Science, you will be part of a team charged with structuring and executing the quantitative analyses and building advanced data products needed to run day to day operations and inform sales and company executive strategic decision making to meet our rapid growth objectives. You will collaborate cross functionally to drive performance improvement, contribute to GTM strategy planning, and be the go-to expert on all GTM metrics. You will be a key part of the hands-on group driving strategy for Sales. IN THIS ROLE YOU WILL GET TO: Own end to end data projects related to data enrichment and data quality projects that support go-to-market operations Build data science models to drive predictive and prescriptive analytics to influence go-to-market strategy Conduct ad-hoc analysis to understand unexpected metric movements and communicate results to other data scientists, operations people, and company leadership Contribute in building data science projects in sales operations and create alignment with key stakeholders and cross-functional teams. Drive the design, building, and launching of new data models and data pipelines in production ON DAY ONE WE WILL EXPECT YOU TO HAVE : 2-5 years of experience in a data scientist position, ideally supporting sales operations and strategy Proficient experience with scripting languages, specifically Python Hands on at SQL with advanced operations (partitions, permissions, CTEs, views, etc.) Working knowledge of basic ML algorithms, feature extraction & selection, and interpreting results Bachelors in Computer Science, Math, Physics, or other technical field, MS/PhD a plus Comfortable with ambiguity and moving pieces - we're growing fast Ability to communicate your analysis with clarity and precision to both technical and non-technical teams PREFERRED QUALIFICATIONS: Experience with data visualization Experience with Git, code reviews, and coordination frameworks (e.g. Airflow) Working knowledge of at least one modeling framework (e.g. scikit-learn, TensorFlow) Experience with short, medium, and long-term forecasts to understand the likely growth trajectory of our compa