What are the responsibilities and job description for the Senior Data Scientist position at Domo?
Company Overview
Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.
Position Summary
This role is required to be in office 5 days a week.
Sr. Data Scientists at Domo are client-facing experts who work with Domo’s strategic clients to develop custom production data science solutions that address and improve business challenges. Domo Data Scientists also work closely with Domo’s Product Team to inform and develop data science products that accelerate Domo use and adoption. This role requires data scientists to understand and demonstrate competence in four knowledge domains: data engineering, model building, customer and initiative management, and problem solving. These four domains apply to all aspects of building production data science, machine learning, and AI pipelines in Domo—including use case discovery, ROI estimation and tracking, data ingestion, data preparation and cleaning, feature engineering, modeling, training, productionizing, and building out technical and end-user dashboards.
Time is balanced between calls and on-site interactions with Domo clients, with independent time allocated to informing and building data science products and solutions. Furthermore, Sr. Data Scientists on this team are teachers and trainers, with a firm emphasis on evangelizing data science best practices and enabling customers to understand and own their Domo data science solutions.
Sr. Data Scientists at Domo are encouraged to pursue projects that enhance clients’ user experience and move forward the vision of data science at Domo. This can include contributing to the building of Domo data science products, designing and architecting apps, writing knowledge base articles, developing sales and marketing solutions, or contributing to Domo-sponsored published works.
At the senior level, data scientists are expected to demonstrate expert knowledge and industry respect and longevity in at least two of the four knowledge domains (data engineering, model building, customer and initiative management, and problem solving). Thought leadership and expertise for Senior-level data scientists can be evidenced through a cohesive body of work as is demonstrated in a portfolio of production DSML projects, publications, presentations, reports, patents, and other industry-relevant accomplishments.
Job Requirements
Upload the following to the Resume/CV field
Domo is an equal opportunity employer
Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.
Position Summary
This role is required to be in office 5 days a week.
Sr. Data Scientists at Domo are client-facing experts who work with Domo’s strategic clients to develop custom production data science solutions that address and improve business challenges. Domo Data Scientists also work closely with Domo’s Product Team to inform and develop data science products that accelerate Domo use and adoption. This role requires data scientists to understand and demonstrate competence in four knowledge domains: data engineering, model building, customer and initiative management, and problem solving. These four domains apply to all aspects of building production data science, machine learning, and AI pipelines in Domo—including use case discovery, ROI estimation and tracking, data ingestion, data preparation and cleaning, feature engineering, modeling, training, productionizing, and building out technical and end-user dashboards.
Time is balanced between calls and on-site interactions with Domo clients, with independent time allocated to informing and building data science products and solutions. Furthermore, Sr. Data Scientists on this team are teachers and trainers, with a firm emphasis on evangelizing data science best practices and enabling customers to understand and own their Domo data science solutions.
Sr. Data Scientists at Domo are encouraged to pursue projects that enhance clients’ user experience and move forward the vision of data science at Domo. This can include contributing to the building of Domo data science products, designing and architecting apps, writing knowledge base articles, developing sales and marketing solutions, or contributing to Domo-sponsored published works.
At the senior level, data scientists are expected to demonstrate expert knowledge and industry respect and longevity in at least two of the four knowledge domains (data engineering, model building, customer and initiative management, and problem solving). Thought leadership and expertise for Senior-level data scientists can be evidenced through a cohesive body of work as is demonstrated in a portfolio of production DSML projects, publications, presentations, reports, patents, and other industry-relevant accomplishments.
Job Requirements
- University degree and equivalent industry experience with an emphasis in data science, statistics, behavioral science, computer science, or related field
- Strong R and/or Python skills (5 years)
- Knowledge and demonstrated application of a breadth of statistical and data science approaches
- Portfolio of at least one completed data science and/or statistics project, including visualizations, presentations, reports, etc. (a relevant class project can be considered for junior-level applicants)
- Experience in any type of customer-facing role (2 years)
- Flexibility to travel for work as much as 20% of time
- Strong written and oral skills
- Detail oriented
- Exceptional time management skills
- Master’s Degree or PhD with an emphasis in data science, statistics, behavioral
- science, computer science, or related field
- Portfolio of independently completed data science and/or statistics projects, including visualizations, presentations, reports, etc. (industry-specific portfolio preferred)
- Evidence of developing and deploying business-relevant data science or machine learning solutions in production
- Experience teaching statistics and/or data science, with evidence of success (such as favorable course evaluations, etc.)
- Project management experience
- Experience using Domo (1 years)
Upload the following to the Resume/CV field
- Current resume
- Current CV, if applicable
- Data Science Portfolio: Highlight at least one use-case that showcases your work and the importance of it
- Evidence of teaching success, if available
- Customer evaluations, ratings, feedback, endorsements, etc., if available
- If selected for an interview, please prepare a 15-minute presentation that showcases your data science work (preferably customer-facing work) and the impact of it
Domo is an equal opportunity employer