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BP Americas, Inc. Data Scientist in Denver, Colorado

98643BR

Job title:

Data Scientist

Segment:

Upstream

Role synopsis:

We are looking for an experienced data scientist to join the team. The data scientist must have at least five years of experience in a data science role and at least ten years experience working within industry or academia and will have had experience putting machine learning solutions that they designed and built into production within an enterprise. The data scientist will have had hands on experience with every level of the data science project from gathering the data to developing production ready code and deploying machine learning solutions to production using CI/CD. The data scientist will have in depth knowledge and experience with various data technologies including relational database technologies as well as NOSQL and timeseries databases. The data scientist will understand the software development lifecycle and will have experience with and be comfortable working on a full stack Agile team consisting of data engineers, data scientists and software developers and will feel enjoy acting as a thought leader and mentor to the rest of the team as well as to others in the organization. This role requires someone with the ability to easily interact with others and build meaningful and trusting relationships across the enterprise. The data scientist must be able to think like a scientist and therefore someone with a PhD and research experience is strongly preferred.

Req ID:

98643BR

Location:

United States - Colorado - Denver

Is this a part time position?:

No

Relocation available:

Yes - Domestic (In country) only

Travel required:

Yes - up to 10%

Key accountabilities:

  • Use data science and artificial intelligence to solve difficult problem

  • Learn the domain space

  • Build hypotheses

  • Gather evidence/data

  • Conduct data cleansing, data visualization and data mining

  • Apply various types of statistical analysis

  • Use big data technologies to analyze large data sets

  • Conduct feature engineering

  • Build machine learning models (including using deep learning) using massive data sets

  • Write testable and highly efficient code

  • Put results into production applications and products

  • Engage with stakeholders as needed

  • Communicate results

  • Leadership capabilities is a plus

Essential Education:

  • Graduate degree in a quantitative field (Math, Statistics, Quantitative Social Science, or related degrees).

Desirable criteria and qualifications:

  • Foster an environment of safety first operations

  • Demonstrate ability to achieve high performance goals and meet deadlines in fast paced environment

  • Forward looking thinker; who actively seeks opportunities and solutions

  • Demonstrated use of IMPACT principles:

I - Innovated: Learns from new ideas and applies solutions to add value.

M - Motivated: Overcomes obstacles with an intense desire to succeed.

P - Performance Driven: Makes value-based decisions involving measured risk to deliver business objectives.

A - Accountable: Takes responsibility and ownership of business performance.

C - Collaborative: Shares knowledge and works together for the good of L48.

T - Trustworthy: Keeps commitments, listens to others and authentically supports change necessary to achieve our Path to Premier.

About BP:

BP's BPX Energy business (formerly known as the Lower 48) operates across a vast US geography, from Texas north through the Rocky Mountains. The business manages a diverse portfolio which includes an extensive unconventional resource base of about 7.5 billion barrels of oil equivalent across 5.5 million gross acres in some of the largest and most well-known basins in the US. Headquartered in Denver (Colorado), BPX Energy employs about 1,700 people across six states, operates more than 9,600 producing wells and has 70,000 royalty owners. Our vision is to be the premier, high return, onshore exploration and production company that consistently increases asset value.Our Wyoming operations are anchored on the giant Wamsutter tight gas field in the south central part of the state. In the San Juan area of Colorado and New Mexico we produce from tight gas sands and operate the largest coal-bed methane field in the US. Our Mid-Continent operations cover the prolific Anadarko, and is home to the famed East Texas basin, along with the Woodford shale gas play and Arkoma basin. We also have non-operating interests in over 10,000 wells across the US with substantial positions in both the Eagle Ford and Fayetteville shale basins.In 2018, BP completed a $10.5 billion acquisition of BHP's world-class unconventional oil and gas assets in the Permian-Delaware basin in Texas, along with two premium positions in the Eagle Ford and Haynesville basins in Texas and Louisiana. These assets currently produce 190,000 barrels of oil equivalent per day, of which about 45 percent are liquid hydrocarbons. The deal represents BP’s largest purchase since buying ARCO in 1999. It is a transformational acquisition for our BPX Energy business which gives the BPX Energy team access to some of the best acreage in some of the best basins in the onshore U.S.

Application close date:

27-May-2019

Sub-category:

IT Service & Delivery

Job category:

Information Technology & Services

Countries (State/Region):

United States - Colorado

Disclaimer:

If you are selected for a position in the United States, your employment will be contingent upon submission to and successful completion of a post-offer/pre-placement drug test (and alcohol screening/medical examination if required by the role) as well as pre-placement verification of the information and qualifications provided during the selection process. The drug screen requires a hair test for which BP must be able to obtain a sufficient hair sample for analysis (4 cm/1 ½” scalp, or > 2 cm/¾” body – arms & armpits/legs/chest)

As part of our dedication to the diversity of our workforce, BP is committed to Equal Employment Opportunity. Applicants will receive consideration for employment without regard for race, color, gender, religion, national origin, disability, veteran status, military status, age, marital status, sexual orientation, gender identity, genetic information or any other protected group status. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us or have one of your representatives contact us at BPUSApplicationAssis@bp.com or by telephone at 281.366.1999.

Read the Equal Employment Opportunity is the Law poster and the poster supplement - for more information about Equal Employment Opportunities. ( Spanish version )

BP is an equal employment opportunity and affirmative action employer. View our policy statement .

Essential experience and job requirements:

5+ years of experience doing data science and machine learning

Proven ability to write efficient and testable code

Proven completion of MOOCS (Coursera, Udacity, Data Camp etc.) is a plus

Practical understanding of Statistics, Machine Learning and data cleaning

Solid proficiency in R and or Python (knowledge of Java, C#, C++ and Scala a plus)

Experience using Spark (including PySpark, SparkR or Sparklyr) and Hadoop a plus

Knowledge of database technologies

Experience using Machine Learning tools such as caret, Scikit-learn, MLlib, Tensorflow, H2O

Cloud proficiencies (AWS, Azure)

Experience with DevOps and CI/CD for data science

Strong desire and ability to learn new technologies quickly is a must

Other Requirements (eg Travel, Location):

There are no additional requirements. Please respond with N/A below.

bp.com #tag:

#lower48req

Eligibility Requirements:

If you are applying for a position in the United States, you must be at least 18 years of age, legally authorized to work in the United States; and not require sponsorship for employment visa status (e.g., TN, H1B status), now or in the future.

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