Data Scientist Ii at Dwolla

👋  Hi, I’m John - Data Team Manager here at Dwolla.  I’m looking for an analytical, empathetic data scientist who loves diving deep into data preparation and analytics while working in a fast-paced, collaborative, diverse Engineering team.

Here is what you can expect to work on in this critical role:
You’ll be responsible for the collection, cataloging, analysis and interpretation of data for the business.  This includes optimizing the achievement of business objectives through developing and presenting rigorous analyses of information.
 
You’ll also develop approaches to generate and statistically validate hypotheses about critical metrics and indicators; design and implement algorithms to generate reporting and alerting (potentially client-facing or leveraging machine learning), and collaborate with our data analysts & engineers, Salesforce administrators, web developers, and Product engineers.

How do our Data Scientists spend their time?
You can expect to spend about 80% of your time on data preparation and clean-up (roughly 20% data collection, 50% cleaning and organizing data and 10% data catalog implementation and maintenance).  The remaining 20% of your time will be spent with data modeling, mining and analysis (building training sets, mining data patterns and refining algorithms).


Our team values collaboration, a passion for learning and a desire to become a master of your craft.  We thrive in asynchronous communication.  You will have a lot of support from leadership when you communicate proactively with detailed information about any roadblocks you may encounter.  


Qualities of Data Scientists Who Thrive in This Role
🔥 You are a driven, self-starter type of person who isn’t afraid to dig for answers, stays up-to-date on industry trends and is always looking for ways to enhance your knowledge (yes, industry-related podcasts count! 🎧) .

🖥️  Experience with Python, Pandas, sklearn, Jupyter, SQL and AWS would be amazing!  

🏆  Although the nature of this work is fairly individualist, the ability to collaborate with internal stakeholders is vital (and we really love it when team members are active participants in our meetings).


What’s expected of a Data Scientist II at Dwolla?

Collaborate with stakeholders to identify and pursue opportunities to utilize data to optimize business processes and systems.
Develop reliable and defensible analysis methodologies, models, and algorithms.
Develop forecasts to optimize business performance, augment revenue generation, reduce risk, and improve the customer experience.
Design and implement data visualizations for use by business stakeholders.
Ensure appropriate integrity, security, and privacy of Dwolla data and resulting analytic products.
Collaborate with Data Engineers to build pipelines supporting the overall data strategy.
Collaborate with Data Analysts to incorporate statistical principles and tests into reports and dashboards.
Support initiatives to incorporate data utilization into Dwolla product offerings.
Implement and maintain Dwolla’s data catalog 



What are the preferred qualifications for this position?

Experience developing analytical approaches to find defensible and reliable answers to complex questions.
Experience creating visualizations and reports to present complex answers in a stakeholder-friendly manner.
Experience with Python and common data science-related libraries such as Pandas, sklearn, Jupyter, and a visualization library such as Matplotlib. Experience with common Machine Learning algorithms and Python libraries is a plus.
Experience with relational databases and SQL queries, performing complex queries across multiple tables to extract information.
Experience with AWS data-related services (such as RDS, Aurora, Glue, S3, Athena, RedShift, SageMaker, and Quicksight) is a plus.
Experience developing tools and methodologies for automating data collection & cataloging.
Detailed knowledge of statistical concepts (regressions, statistical tests, distributions, etc) and application of the scientific method.
Knowledge of software engineering best practices as they apply to data extraction, conditioning, and analysis.
Strong analytical thinking and troubleshooting skills.
Strong written and verbal communication skills.
Typically requires 2+ years of experience in a closely-related role. Education and certifications are valued and may contribute towards this criteria as applicable.



When you join the Dwolla team, you get these great perks: 
⭐ Remote-first work environment (our employees can work from anywhere in the US or from our Des Moines office)

❗❗**Please note:  While we support a remote-first work environment, we are currently only able to offer employment to candidates who live in the United States**


⭐ Remote-first home office stipend (and paid parking for our office-loving employees)


⭐ Stock options

⭐ 401k (with 4% company match)


⭐ Unlimited Paid Time Off (with a mandatory PTO minimum of 5 days every 4 months 😎)


⭐ 12 weeks paid parental leave

⭐ Medical, dental and vision insurance (Health plan options include a free Peloton app & Apple Fitness membership)


⭐ Long-term disability insurance

⭐ Life insurance

⭐ Flexible Spending Account

⭐ Dedication to supporting mental health via paid subscription to Headspace

⭐ Casual dress 


Some Fine Print
At Dwolla, we value diversity and hold the core belief that the best teams are built by the inclusion of diverse ideas, experiences, and people.

If you require a reasonable accommodation or assistance for any part of the interview and employment process, please contact Katie Spellman (Talent Recruiter) at kspellman@dwolla.com  and let us know the nature of your request.

If offered this position, you will be asked to complete an employment and credit verification authorization form (which allows us to run a background check) as part of our employment process. By submitting this application, you agree that Dwolla may share applicant information with a third party for communication services.