Staff Data Scientist at Veho

About Veho

Veho is a technology-driven shipping company that enables personalized next-day package delivery, extending partner brand value. Veho brand partners have seen a 20% increase in customer repurchase, 40% increase in customer lifetime value, and 8% rise in net promoter score.

Veho gives package recipients greater insight and control, letting them know when they will receive their package, when drivers are en route, and enables real-time rescheduling, address changes, and personal delivery instructions. Veho's technology matches demand for package delivery with a network of qualified crowdsourced driver partners, ensuring every package is delivered on time and correctly.

The concept for Veho started as a school project while co-founder Itamar Zur attended Harvard Business School. Zur constantly experienced issues receiving packages - from getting the dreaded “we missed you” note, to stolen packages. He set out to fix the problem so many customers and brands face.

Today, Veho’s robust technology platform provides customers and e-commerce brands with an unparalleled shipping experience, an industry record 99.9% average on-time performance for next-day delivery and an average 4.9-star customer rating. 

Veho is looking for a Data Scientist who will support our product, sales, leadership, and marketing teams with insights gained from analyzing company data. You'll be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Having strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations is integral. You'll have a proven ability to drive business results with their data-based insights as well as be comfortable working with a wide range of stakeholders and functional teams. 

We are looking for someone with a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes, business decisions, and, ultimately, change the face of an industry!



What You'll Be Doing:

Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mining and analyzing data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
Developing custom data models and algorithms to apply to data sets.
Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Developing company A/B testing framework and test model quality.
Coordinating with different functional teams to implement models and monitor outcomes.
Developing processes and tools to monitor and analyze model performance and data accuracy.



Experience and Skills You'll Need to Have

Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.



Why You Want to Work with Us

Competitive compensation packages including a very generous equity program.

Full suite of benefits with partial company subsidization of the premium.

Flexible PTO plan.
You'll be part of an AMAZING team that is using innovative strategies and cutting-edge technologies to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers! 



“The starting salary for this role is $176,634. The actual salary is dependent upon many factors, such as: education, experience, and skills. The pay range is subject to the discretion of the Company.”

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English.  Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.