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Department: | IT Business Operations & Analytics |
Office: | Washington |
Location: | Bellevue, WA |
Function: | Accounting/Finance |
Data Scientist
Bellevue, WA or Remote US
From .life to .solutions to .news, Donuts is the global leader in high-quality, top-level domains. Our fresh, relevant new domain names provide variety and choice to easily manage and amplify your digital identity. Donuts Inc. is also the parent company of Name.com, a leading domain name registrar and Afilias Inc, Registry Services and DNS Solutions Experts. Donuts Inc. is headquartered in Bellevue, Washington with offices in Denver, Dublin, Los Angeles and Beijing. Find out more about us at www.donuts.domains and www.name.com and Afilias.info.
The Donuts Business Intelligence team is responsible for the design and operation of our reporting and analytics platform as well as data analysis to guide and support business initiatives. As a Data Scientist you will be responsible for developing data insights to drive business decisions or actions via statistics, prescriptive and predictive analytics and AI/ML modeling. You will be responsible for maintaining and enhancing existing ML applications as well as developing and deploying new ones.
Key Responsibilities:
Build predictive models and machine-learning algorithms
Analyze large amounts of information to discover trends and patterns
Undertake preprocessing of structured and unstructured data
Monitor and maintain AI/ML model effectiveness
Combine models through ensemble modeling
Present complex information using data visualization techniques
Propose solutions and strategies to business challenges that drive business impact
Research/benchmark AI/ML technology to support data product/service roadmap
Provide status updates to leadership on key data insights at program milestones, including reviews and demos
Use MLOps practices and methods to plan and create AI applications to address business challenges
Demonstrate strong analytical, problem solving, and troubleshooting skills combined with an agile process
Required Skills and Experience:
5+ years of experience in a data science capacity
Proficient in one or more analytical methodologies such as feature engineering, data analysis, numerical optimization, real time & time-series modeling, forecasting, machine learning/deep learning and natural language processing;
Experience of ML toolkits such as Jupyter Notebooks, Pandas, Tensorflow, PyTorch, Keras, SK-Learn, Numpy, Matplotlib
Experience in supervised learning (Logistic, Decision Trees, Random Forest, XGBoost) and unsupervised learning (K-means, Nearest Neighbor, Hierarchical Clustering, Anomaly Detection)
3+ yrs experience in developing, deploying, and monitoring performance of data pipelines, data analysis, and BI reporting;
Experience utilizing:
Scripting languages (Python, PySpark and SQL);
Databases (BigQuery preferred)
Data Visualizations (Tableau preferred)
Proven technical ability to navigate highly complex data management projects and effectively collaborate with multiple parties
Experience developing software with business intelligence, data warehousing, and ETL services and technologies.
Ability to investigate issues based on limited information
Creative, strategic and analytical mindset
Ability to work and collaborate with cross-functional teams to deliver results
Strong interpersonal skills and ability to develop relationships with team members and cross-functional teams
Organizational and time management skills
Attention to detail
Knowledge of the domain name industry a bonus
Education:
Bachelor's Degree in Mathematics/Statistics, Computer Science, Data Science or Engineering is required, Advanced degree (Masters or PhD) in AI/ML preferred
A Few things to know about us:
Donuts offers a highly competitive compensation package and a friendly, collaborative culture that values employee engagement and ongoing career development. Donuts is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, age, national origin, veteran status, marital status, sexual orientation, gender identity, disability or any other category prohibited by local, state or federal law. This policy applies to all aspects of employment, including recruitment, placement, promotion, transfer, demotion, compensation, benefits, social and recreational activities and termination. Currently due to Covid-19 we are working remotely from home.