Data Scientist and Account Manager

Data Scientist and Account Manager
Fully Remote
Fully Fulent English Required
Must physically be in North or South America

The Data Scientist and Account Manager (“DSAM”) Position is a blend between a data scientist and an account manager and blends people skills with data analyics. Blue Ink Digital is a fast-paced company and the DSAM role is critical to continued and future growth of the company. This role is fully remote and open only to applicant physically located in the U.S. time zone. (i.e. North America, South America).

Quick Overview: The DSAM will be working with our Accounts team to ensure client success. The role is a combindation between a Data Scientist able to do data optimization, data analytics, create forecasts and do intermediate data science work and an account manager who will be client facing and interfacing with U.S. english speaking clients on a daily basis.

DSAM Duties: The DSAM will be one of the primary contact points for various clients and will be responsible for making updates, maintaining client campaigns, increasing performance and maintaining the health of the platform. Further the DSAM position plays a key role in analtics and data performance. Essentially the DSAM should, when fully trained, be able to handle the day to day of a smaller subset of accounts along with other account managers and be the main person to handle data and performance.

The DSAM position is a full-time position and is expected to be available during normal U.S. business hours. Blue Ink Digital is a 24/7 marketplace so the DSAM may receive requests at all hours however the DSAM is only expected to respond to non-emergency requests during working hours.

Key Skills of DSAM: High level of skill in Excel, ideally familarity with SQL, R or other data analytics platforms and laungages. Ideally training, school or a background in traditional data science or data analytics.

DSAM also has Excellent written and oral communication skills Ability to work well with existing and future clients Understanding and ability to learn company specific analytics framework. Extremely diligent and detail focused Ability to work effectively remotely

Ideal Candidates must be highly proficient in data analytics. Ideally candidates also have some level of client experience however candidates with excellent english, and data science and analtics roles with no client experience are still welcome to apply. Past work with start-ups, or work in the marketing, insurance, consulting or home service industries is a bonus.

Salary is priced in U.S. dollars and will be paid in U.S. dollars or local currency as requested.