Data Scientist

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🕒 April 1

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Driven Technologies

WebsiteLinkedInAll Job Openings

1 - 10 employees

🔧 Hardware

🚗 Transport

Hardware • Transport

Driven Technologies is a company that builds advanced drivetrain technology for electric bicycles. Their flagship product, the ORBIT DRIVE, brings modern hybrid-vehicle drivetrain innovations to e-bikes, offering increased battery range, reduced maintenance trips, smooth operation, and effectively infinite gearing for a better ride. The company focuses on hardware and engineering improvements to e-bike performance and user experience.

📋 Description

• An expert in quantitive analysis, data mining, and the presentation of data beyond the numbers that understands how users interact with both consumer and business products • Able to partner with Product and Engineering teams to solve problems and identify trends and opportunities • Inform, influence, support and execute product decisions and product launches • Critical thinker with strong communication skills • Reliable, self-motivated, shows initiative • Able to work well within a team and independently • Product Operations and designing and evaluating experiments • Monitoring key product metrics, understanding root causes of changes in metrics • Building and analyzing dashboards and reports • Building key data sets to empower operational and exploratory analysis • Evaluating and defining metrics • Exploratory analysis • Proposing what to build in the next roadmap • Understanding ecosystems, user behaviors, and long-term trends • Identifying new levers to help move key metrics • Building models of user behaviors for analysis or to power production systems • Influencing product teams through presentation of data-based recommendations • Communicating state of business experiment results, etc to product teams • Spreading best practices to analytics and product teams • Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica • Automating analyses and authoring pipeline via SQL and Python-based framework

🎯 Requirements

• Masters Degree in computer Science, Engineering, Operations Research, Econometrics, Statistics or related technical field • Experience solving analytical problems using quantitative approaches • Experience communicating quantitive analysts results • Knowledge with relational databases and SQL • Development experience in any scripting language (OPHO, Python, Perl, etc.) • Knowledge of statistics (e.g. hypothesis testing, regression) • Experience manipulating data sets through statistical software (ex. R. SAS) or other methods • Experience working with distributed computing tools (Map Reduce, Hadoop, Hive, etc) is a plus • Excellent communication and presentation skills