Sr. Data Scientist
- 1525 4th Ave, Seattle, WA 98101, USA
Our mission at Suplari is to shine the light on waste so that companies can invest in growth, innovation and their people. Suplari’s software leverages machine learning and AI technologies to deliver actionable insights from a company’s spend and procurement data and easily visualizes these tailored recommendations and data trends in a clean, user-friendly interface. Customers realize hard dollar cost savings and effectively manage supplier risk that is often hidden within millions of data points and takes hours of manpower and clunky spreadsheets to uncover.
Suplari is truly making an impact for clients such as Nordstrom, 21st Century Fox, and Sonos, (just to name a few) and we’re just getting started. We’re aiming to “share the wealth” by providing businesses with the tools to reduce spend, mitigate risk and increase compliance, and we need your help!
Suplari is seeking a talented Senior Data Scientist to join us at our downtown Seattle HQ.
Do you like focusing on challenging problems and finding creative solutions? Would you like to help create something that makes a difference? Do you like to be part of a fast-growing company and be able to put your mark on something early?
The senior data scientist will design, build, and implement a cloud native, data pipeline including feature extraction, transformation, and data cleansing as well as machine learning algorithms to detect patterns and insights. The result of this data pipeline will be a structured data warehouse used to power the Suplari SaaS application. We are looking for passionate scientists that want to be part of a company that’s going to change the way enterprise businesses interact with their suppliers.
What you'll be doing:
You will work with product management and customer success teams to understand requirements and customer value
Apply statistical analysis & modeling techniques to datasets large and small, advance existing initiatives and open opportunities to pursue new and previously unexplored research topics across a wide variety of industries and domains
Operate and extend the data science platform to deliver production-grade data curation and analysis services
Own end-to-end data workflows and develop deep domain expertise on the underlying actors and behaviors manifested through data
Visualize and explore data sets to enable the ideation and generation of new, predictive feature
What to bring:
Strong coding skills with data-frames are a prerequisite, example platforms include Pandas, R, Matlab, and Apache Spark.
Demonstrated experience highlighting innovation, creativity, and intuition, e.g the ability to laterally identify other sources of useful information and think 'outside the box'
Experience applying statistical methods (distribution analysis, classification, clustering, etc.)
Experience with creating & maintaining training datasets and constantly improving ML algorithms
Experience in any of the following toolkits: NLTK, Stanford-nlp, R, GraphLab
Experience with modern database technologies like Postgres, MongoDB, Dynamo
Experience working with large, semi-structured datasets like legal documents, application logs and product invoices
Rigor in automated testing, continuous integration, DevOps and other engineering best practices.
Agile enough to jump into a broad range of projects.
MS or PhD in computer science, math or physics.
8 or more years of experience in data analysis or similar role required.
We’d love to hear from you if:
You love being part of a small, dynamic, and agile organization that encourages you to learn and grow
You love finding solutions to interesting problems
You welcome having autonomy with complex tasks
You are passionate about using your experience and expertise to inspire the team
Competitive compensation package
Ownership through equity and options
Cool work space with great views and bike storage.
Great coffee and awesome snacks
Early stage company experience
Comprehensive health and dental benefits
This position will be located in the Seattle area.
We are not interviewing remote employees at this time.