Sr. Data Scientist

| Greater Denver Area
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Well Data Labs is a team focused on bringing modern software design and usability to the oilfield. Our product is a modern web application with industry leading machine learning capabilities that manages, analyzes, and reports Drilling & Completions data for Engineers, Data Scientists and other industry experts. We sell our software to experts in the industry, or as we like to say, we work side-by-side with our customers to give them super powers! Well, maybe not the kind of superpowers Marvel characters might have, but superpowers for Petroleum Engineers - analyzing data in seconds! 

About Our Company Culture:

We believe culture is one of the most important parts of a healthy workplace. Culture can sometimes be referred to in fluffy, airy terms that mean very little in reality but our culture is derived from our actions, stories we love to share, and our core values.

Our Core Values: Create value, act with integrity, deliver results, embrace transparency, strike a balance and celebrate as a team!

About this position: 

We are looking for a data lovin’, independent but collaborative, self-driven, Senior Data Scientist to join our Research and Development team. The R&D team uses machine learning to automate the analysis and recognition of events in time-series metered data generated in the field. This role requires the ideation and prototyping of robust, production-level machine learning solutions. The role further involves the steps of scaling and supporting these as product features while you partner with Product Managers, Developers, and Oilfield Subject Matter Experts. 

Characteristics & Mindset of a Successful Candidate:

  • Insatiable curiosity for research, data, and machine learning
  • Collaborative self-starter who takes initiative and can self-manage, but also loves teaching and learning
  • Analytical mind, problem-solving aptitude, and business acumen

Responsibilities & Opportunities of the Role: 

  • Design and build models to address customer and business needs, improve customer experience, revenue generation, and other major business outcomes.
  • Work closely with the organization’s stakeholders on implementing, deploying, and monitoring machine learning/artificial intelligence models that are integrated with key product features.
  • Create maintainable projects with documentation. Design experiments to measure effectiveness, and maintain the predictive models in the pipeline.
  • Process, clean, and verify the integrity of data used for analysis
  • Participate in agile development of unique and innovative products
  • Coaches, mentors, and reviews other team members work assignments and gives recommendations on processes and best practices                                                         
  • Do ad-hoc analysis and present results in a clear manner
  • Learn the intricacies of the well completions data life-cycle 

Minimum Qualifications to Apply:  

  • Masters/Ph.D. in Engineering, Computer Science or Mathematics/Statistics or equivalent 5-7 years working experience as a Machine Learning Engineer, Data Scientist, or similar role.
  • Extensive experience with applied knowledge of probability, advanced statistics, data mining, and machine learning. Working knowledge of time-series analysis, signal processing, and/or geostatistics.
  • Expert in at least one of Python or R. Solid working knowledge of SQL, Pandas and numpy (in Python) or tidyverse (in R). Familiarity with Tensorflow/Keras/Pytorch, Linux, and SpotFire is a plus. Must have experience interacting with JSON/REST APIs.
  • Proficient using source control systems and their associated ecosystems, e.g., Git and Github/Bitbucket
  • Understanding of modern machine learning techniques and their mathematical underpinning, such as classification, regression, trees (incl. forests and boosting), dimensionality reduction, recommendation systems, optimization, and deep learning
  • Strong problem-solving skills with an emphasis on model development and deployment. Driven to learn and master new technologies and techniques, to take initiative, and to contribute to the development of the department.
  • Exceptional written, communication, and presentation skills

Benefits While Working at Well Data Labs: 

  • Competitive salaries 
  • Family-friendly company with leadership that encourages a life outside of work (we don’t work late nights or weekends)
  • Belief in a holistic view of employee satisfaction, backed up by generous time off, employee stock options, company sponsored 401k match, great health, dental, and vision  insurance, cell phone stipend, and more!
  • We've been awarded one of the Best Places to Work by Denver Business Journal three years in a row!
  • Focus on a culture of diversity (of thought and background)
  • Diverse and inclusive workforce
  • Salary range: $120K-$150K

Do you sound like our new Senior Data Scientist? Great! We look forward to speaking with you soon!

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Well Data Labs is located in LoDo with the historic Union Station, 16th Street Mall, and Larimer Square within a few short blocks of our office.

An Insider's view of Well Data Labs

What's something quirky about your company?

We're all pretty quirky fun people. Everyone seems to have so many talents and passions so it's fun to learn how people spend their time outside of work.


Data Research Analyst

How does the company support your career growth?

Promotes us going to industry and professional events.


Product Owner

How do you make yourself accessible to the rest of the team?

The good news is there are no offices at Well Data Labs so it's super easy to approach one another and ask questions. There are also a lot of meeting rooms to accommodate the size of meetings you may need to have.


Head of People Operations

How do you collaborate with other teams in the company?

I'm constantly collaborating with other teams, mostly product, customer success, and sales. When trying to find solutions for customers, other teams often have super valuable bits of background info or ideas of creative solutions.


Customer Support Analyst

What are Well Data Labs Perks + Benefits

Well Data Labs Benefits Overview

At Well Data Labs, we offer a casual, family-friendly environment with leadership that encourages life outside of work, competitive pay, employee stock options, company sponsored 401k, health insurance, snacks, and great coffee. Best of all, we offer meaningful work with a group of people you’ll look forward to working with each day.

Volunteer in local community
Partners with Nonprofits
Each season, Well Data Labs selects a non-profit to partner with to provide a service or to give back to the communities we live in.
Friends outside of work
Eat lunch together
Daily sync
Open door policy
Team owned deliverables
Team based strategic planning
Mean gender pay gap below 10%
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Team workouts
Well Data Labs has a weekly on-site yoga class taught by one of our own team members.
Retirement & Stock Options Benefits
401(K) Matching
3% match
Company Equity
Match charitable contributions
Child Care & Parental Leave Benefits
Generous Parental Leave
Well Data Labs provides up to 2 weeks of parental leave following the birth of an employee’s child or the placement of a child with an employee in connection with adoption or foster care.
Flexible Work Schedule
Remote Work Program
Our remote work program includes working from home every Friday, full-time remote for specific positions, and work remotely on occasion as needed.
Family Medical Leave
Employees who have been with the company for 12 months are eligible for 12 weeks of family medical leave.
Restricted work hours
Company sponsored family events
Vacation & Time Off Benefits
Generous PTO
Paid Volunteer Time
Our employees receive 8 hours per year of paid volunteer time.
Paid Holidays
Paid Sick Days
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Game Room
We have a full size arcade machine with more than 50 classic video games.
Stocked Kitchen
Happy Hours
Professional Development Benefits
Job Training & Conferences
Lunch and learns
Cross functional training encouraged
Promote from within
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