Senior Data Scientist

Domosapiens embody an inclusive culture where we strive to go beyond, embrace data and win together. Our cloud-based platform transforms business by putting data to work for everyone in an organization, empowering all employees to be multipliers of business impact. 

Position Summary

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 and machine learning 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, 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. 

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 or 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.;
• 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.

Preferred Job Requirements 

• 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).

Domo is an equal opportunity employer. 

#LI-JC1

#LI-Onsite