Senior Data Scientist

United States Digital Space LLC; Mountain View (CA); On-site; USD 123,200 - 218,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Scientist to enhance data-driven culture by addressing product and business challenges. This role involves shaping key data science areas like forecasting and user behavior analysis while collaborating closely with various stakeholders.

The ideal candidate should have strong experience in Data Science, familiarity with product analytics, and coding skills in Scala or Python. The role offers a pay range of $123,200 — $218,000 USD.

Qualifications

• Experience in applying Data Science/ML in production to build data-driven products.
• Familiarity with understanding and tracking customer and user behaviour.
• Strong coding skills and familiarity with software engineering principles.

Responsibilities

• Shape direction of key data science areas like forecasting and analytics.
• Manage stakeholders and communicate progress to a non-technical audience.
• Mentor and guide other data scientists on the team.

Skills

Data Science / ML experience

Product Analytics

Collaboration with stakeholders

Coding skills in Scala or Python

Data analysis and visualization

Distributed data processing (Spark, Hadoop)

SQL proficiency

Education

BS/MS/PhD in Computer Science or related field

Tools

R

Python

Job description

As a Data Scientist on the Data Team, you will help build a data-driven culture within the company by helping solve product and business challenges. The Data team also functions as a in-house, production "customer" that dogfoods the company and drives the future direction of the products.

Impact you will have

• Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis.
• Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
• Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
• Mentor and guide data-scientists on the team by helping with project planning, technical decisions, and code and document review.
• Build self-serving internal data products to make data simple within the company.

What we look for

• Experience in applying Data Science / ML in production to build data-driven products for solving business problems.
• Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis.
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Customer Success and Engineering at the moment, but also work with the Sales, Marketing and Finance organizations.
• Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
• Proficient in data analysis and visualization using tools like R and Python.
• Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL.
• BS/MS/PhD in Computer Science, or a related field

Pay Range

$123,200 — $218,000 USD

EEO Statement

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.