Data Scientist

THE CHALLENGE

Every company has strategic priorities and urgency to achieve them, but very few have a cohesive, data driven approach to aligning, measuring and driving those strategic priorities at market speed. Yet, this is perhaps the most important business process to growth, and it’s the least automated today.

At WorkBoard, we’re creating an entirely new solution category with our Strategy & Results Platform to engage everyone from the CEO to the receptionist in understanding, aligning and achieving their organization’s strategy faster. We’re solving a real pain for customers, and our business is tripling every year! As a Data Scientist you will literally have your pulse on the data that partly makes WorkBoard so successful. You will have to think deeply, carefully and strategically. Remain agile, open and focused on execution. You will be an integral element in our continued growth and part of a team that shares in its success as a whole. 

THE OPPORTUNITY

As a foundational member of our Data Science team, you’ll work closely with our Director of Engineering, AI and Data Science to develop, extend and refine our data processes, insights and visualizations. You’ll provide ideas, proof of concepts, develop and deploy production models/solutions along with guidance on infrastructure support and scale. 

THE TEAM

You’ll join a team where everyone—including you—is striving to constantly improve the quality of experience we provide our customers by delivering at our best and being voracious learners. We are an incredibly supportive team and close to our customers. When problems arise, everyone in the engineering team pitches in. We are excited about a lot of things—what “best” looks like for our customers, what “breakthrough” looks like in engineering—and we share these passions across the company and with our customers. Customers even attend our hackathons, affectionately named WoBoCon.

COMING IN 

Bring 2-4 years of experience in Data Science, an analyzer mindset, and a technical degree. You’ll be supporting 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. You will have experience using a variety of data mining/data analysis methods, using a variety of data tools, languages and frameworks, building and implementing ML models, using/creating algorithms, and creating/running simulations. You will have a proven ability to drive business results with data-based insights and you must be comfortable working with a wide range of stakeholders and functional teams. You must have a passion for discovering solutions in large data sets and working with stakeholders to improve business and product outcomes.

YOUR SKILLSET

Problem solving skills with an emphasis on product development.

Experience using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets.

Experience working with and creating data architectures.

Experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Some knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).

Proficient and demonstrable experience with databases such as MySQL, MongoDB, etc.

Knowledge with cloud based services: AWS, Azure, GCP, etc.

Excellent written and verbal communication skills for coordinating across teams.

A drive to learn and master new technologies and techniques.

WITHIN ONE MONTH, YOU’LL:

Complete WorkBoard’s new-hire training week, and learn what it means to build an elegant Strategy & Results platform.

Ramp up on WorkBoard’s architecture, engineering stack and attend engineering sessions designed and presented by peers.

Own, plan and implement your first data science project along with your manager.

Work with you manager to define your next periods objectives.

WITHIN THREE MONTHS, YOU’LL:

Have a deep understanding of the services that WorkBoard is comprised of and how they interact with one another.

Have a complete understanding of the data available, how to access and work within.

Seek, explore and implement data solutions as well as present them to the team.

Assist in architecting WorkBoard’s data science strategy and goals.

Assist in developing ML/DS solutions both for internal and external use cases.

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

WITHIN SIX MONTHS, YOU’LL:

Confidently manage WorkBoard’s Data Science Strategy.

Contributing suggestions to our roadmap for improvements.

Lead in developing ML/DS solutions both for internal and external use cases.

Continue to optimize for increasing scale and a larger global customer base.

Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

WITHIN TWELVE MONTHS, YOU’LL:

Maintain knowledge of WorkBoard’s data, systems, operational best practices and teach them to new members of the team.

Learn advanced skills in ML/DS algorithms, modeling, developing and deploying.

Develop processes and tools to monitor and analyze model performance and data accuracy.

Contribute to effort to add multiple points of presence to improve WorkBoard’s offerings globally.

THE WORKBOARD STORY

WorkBoard provides a powerful, modern results platform to help companies achieve their growth plans. Unlike most enterprise software, our solution is important to every employee, so we strive to set the high bar for capabilities that delight and enable everyone to be more successful at work. Large enterprises like Cisco, Reliance Industries, Samsung, Deutsche Telekom, GE, Transamerica, Cision, and fast-growth companies like Go1, Influitive, Malwarebytes and many others use WorkBoard to fuel faster growth.

We are proud to be an equal opportunity workplace committed to building a team culture that celebrates learning, diversity and inclusion. If you’re hungry to grow your skills while growing a company, your sense of urgency matches the size of our market opportunity, and you value and enable team mates’ contributions, then come join us!

This position is based in Portland, OR.

Salary is competitive and commensurate with experience.