Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
About the Team
The mission of the Data Science team is to enable continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. On the Process Intelligence squad, our key goal is to transform how sales reps operate by enabling a personalized guided selling process. One example is predicting the likelihood of a deal to win, so sales reps can shift their focus strategically toward deals that need attention. In addition to just producing a score as our prediction, we put emphasis on analyzing which factors during the sales process contributed more to the prediction. This allows us to give recommendations to the sales rep on what to do next.
The Role
As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering on this mission. You would be responsible for Designing, implementing, and improving machine learning algorithms. You would work closely with product managers, designers, and customers to define the vision and strategy for a given product. Also, you would be expected to contribute to machine learning applications end to end, i.e from research to prototype to production!
What we are looking for:
• A hybrid data scientist/engineer who can navigate both sides with little help from others
• You have experience working with distributed data processing frameworks such as Spark.
• Experience with Spark's MLlib, AWS, Databricks, MLFlow are a plusYou have strong programming skills in at least one object-oriented programming language (Java, Scala, C++, Python, Golang, etc.)
• You understand the typical lifecycle of machine learning product development, from inception to production.
• You have experience with deploying and running ML models in real products
• You are pragmatic, not stubborn with your solutions, and have the mindset of “get the job done”.
• You are hands on, able to quickly pick up new tools and languages, and excited about building things and experimenting.
• You go above and beyond to help your team
• You are honest, admit mistakes, and own fixing them
• You are a motivated and talented craftsperson: always looking to sharpen and adapt your skills
• You have a degree in Computer Science, Data Science, or a related field (preferably an MS or PhD), and 2+ years of industry or equivalent experience
Location: Seattle, WA (hybrid)
Your Daily Adventures Will Include
- Playing a key role in designing, developing, and releasing machine learning and recommendation applications.
- Working with internal and external customers to understand their pain points and brainstorm solutions.
- Ensuring the data that feed into our machine learning models are reliable, accurate and punctual.
- Working alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products.
The base salary range for this role is $150,000-$190,000. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.
Why You’ll Love It Here
• Generous medical, dental, and vision coverage for full-time employees and their dependents
• Flexible time off
• 401k to help you save for the future
• Company-organized and personal paid volunteer days to support the community that supports us
• Fun company and team outings (or virtual events these days!) because we play just as hard as we work
• Diversity and inclusion programs that promote employee resource groups like OWN (Outreach Women's Network), AAPI, Rainbow (LGBTQIA+), Gender+, LatinX, Black Excellence, Disability Community, and Veterans
• A parental leave program that includes not just extended time off but options for a paid night nurse, gradual return to work, and the Gottman Institute's Bringing Home Baby course for new parents
• Employee referral bonuses to encourage the addition of great new people to the team
• Plus, unlimited snacks and beverages in our kitchen
• We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status
This job is already closed and no longer accepting applicants, sorry.
