Data Scientist at Well Data Labs

| Greater Denver Area
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Data Scientist
Well Data Labs (WDL) is a team focused on bringing modern software design and usability to the oilfield. Our product is a modern web application that manages, analyzes, and reports frac data for Completions Engineers and other industry experts. We work side-by-side with our customers to give them superpowers! Well, maybe not the kind of superpowers Marvel characters might have but, super powers for Completions Engineers - analyzing data in seconds!
Company Culture: We believe that culture is one of the most important parts of a healthy workplace. It is a major factor in your overall enjoyment of life, and it leads to better trust, transparency, and productivity. Culture can sometimes be referred to in fluffy, airy terms that mean very little in reality. Here at Well Data Labs, our culture is derived from our Core Values.

WDL Core Values

  • Create value
  • Act with integrity
  • Embrace transparency
  • Deliver results
  • Strike a balance
  • Celebrate as a team

About this position:

  • We are looking for a data lovin’, independent but collaborative, self-driven, Data Scientist to join our Research and Development team!
  • WDL's research 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
  • This is a contract to hire position with intent to hire this person on full time! Please apply only if you have the intent to join our team full-time.
  • This is a great position for someone who has a 1-2 years of experience and would like to work in a supportive environment where you can contribute and learn. (Not a great position for Senior candidates.)
  • Well Data Labs offers paid parking, a casual office, stocked kitchen and flexible schedules.

Characteristics & Mindset of a Successful Candidate:

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

Responsibilities & Opportunities of the Role:

  • Work closely with the Product and Engineering teams on designing and implementing machine learning models that address key customer and market needs and that are integrated with key product features
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Process, clean, and verify the integrity of data used for analysis
  • Propose solutions and strategies to business challenges
  • Create maintainable projects with documentation
  • Do ad-hoc analysis and present results in a clear manner
  • Learn the intricacies of the completions data life-cycle (Don’t worry, we have engineers, scientists and product experts that will teach you everything you need to know!)

Minimum Qualifications to Apply:

  • Graduate student working toward a degree in Petroleum Engineering, Computer Science or Mathematics/Statistics. Recent graduates will be considered.
  • 1- 2 years of strong conceptual knowledge and background in probability, applied statistics, data mining, and machine learning
  • 1- 2 years of experience with statistical programming and structured data development
  • Well-versed knowledge of Python, R - Familiarity with SQL, Keras, Tensorflow, Spotfire, AWS, Linux, Hadoop, Scala, Java or C++ is a plus
  • Understanding of modern machine learning techniques and their mathematical underpinning, such as classification, recommendation systems, optimization, deep learning, and natural language processing. Knowledge of time-series signal processing is a plus
  • Excellent written, communication and presentation skills

Why we really like working here:

  • Family-friendly company with leadership that encourages a life outside of work (we don’t work late nights or weekends)
  • Opportunity for real-world experience and career growth beyond the Internship
  • Awesome office in LoDo (Downtown Denver)
  • Focus on a culture of diversity (of thought and background)
  • We've been awarded one of the Best Places to Work by Denver Business Journal!
  • And we work from home every Friday!

Do you sound like our new Data Scientist? Great! Please apply. We look forward to speaking with you soon!
*We realize your time is valuable so please do not apply if you do not have the minimum qualifications or live in the Greater Denver area. Thank you!*

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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • .NETLanguages
    • C#Languages
    • JavascriptLanguages
    • PythonLanguages
    • SqlLanguages
    • Akka.netLanguages
    • D3JSLibraries
    • jQueryLibraries
    • ReactLibraries
    • Twitter BootstrapLibraries
    • ASP.NETFrameworks
    • DockerFrameworks
    • RabbitMQFrameworks
    • Microsoft SQL ServerDatabases
    • PostgreSQLDatabases
    • DynamoDBDatabases
    • AsanaManagement
    • TrelloManagement
    • SalesforceCRM
    • MailChimpEmail

Location

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.

Emily

Support Analyst

What does your typical day look like?

Identifying problems, iterating on problems, identifying solutions, iterating solutions.

Carly

Jr. Data Scientist

How does the company support your career growth?

Promotes us going to industry and professional events.

Aleks

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.

Mia

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.

Molly

Customer Support

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.

Culture
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 stand up
Open door policy
Team owned deliverables
Team based strategic planning
Open office floor plan
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)
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
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 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
Parking
Professional Development Benefits
Job Training & Conferences
Lunch and learns
Cross functional training encouraged
Promote from within