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Data Scientist Oil & Gas Manager

Job Location: CA - San Francisco

Regional Description: West

Job Number: 00582843

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- Job description

Organization: Accenture Analytics
Travel: 100% (Monday – Thursday)
Position:  Data Science Manager (Resources)
 
Join Accenture and help transform leading organizations and communities around the world.  The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.  Choose Accenture, and make delivering innovative work part of your extraordinary career.
 
People in our Client & Market career track drive profitable growth by developing market-relevant insights to increase market share or create new markets. They progress through required promotion into market-facing roles that have a direct impact on sales.
  
Accenture Analytics
Accenture Analytics delivers insight driven outcomes at scale to help organizations improve performance. Our extensive capabilities range from accessing and reporting on data to advanced modeling, forecasting, and sophisticated statistical analysis. Specifically we...
  • Help companies better understand consumers and how to connect with them across markets and channels, using data and analytics
  • Design and develop reusable analytical assets using advanced statistical and computational methods
  • Proactively monitor and analyze complex systems to understand, diagnose, and continuously improve key performance indicators
  • Pilot sophisticated advanced analytics & innovative analytics solutions to prove value
  • Work closely with business leaders to understand needs and assist with architecting and deploying innovative solutions
  • Operate at the frontier of innovative analytics; introduce and implement newest market developments & trends in analytics
  • Optimize Resources processes and integrate across the enterprise in order to maximize the opportunities of data, analytics, and outcomes
  • Build, deploy, maintain and scale advanced analytic solutions that reduce complexity and cost
  • Partner and team with technology solution providers to deliver the best solution meeting the needs of our clients
  • Offer our clients end to end solutions and services  
Job Description:
 
The Data Scientist Manager will be part of Accenture Analytics as an Resources Industry Data Scientist with the Industry Data Science Centre of Excellence. They will be working with the team that identifies and develops advanced analytics statistical models, machine learning methods and solutions for Accenture Resources clients to improve various business outcome indicators. 

Key Responsibilities:
  • Successfully develop, conceptualize and test various statistical and machine learning models
  • Integrate the outcomes as real time analytics to elevate Accenture’s ability to create value for clients in areas and through means not immediately apparent to clients 
Data Scientists in Analytics follow multiple approaches for project execution from adapting existing assets to Analytics use cases, exploring third-party and open source solutions for speed to execution and for specific use cases, and engaging in fundamental research to develop novel solutions. They also leverage the vast global network of Accenture to collaborate with Accenture Tech Labs, Accenture Open Innovation and Accenture Operations for creating solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced analytics projects from design to execution.
Basic Qualifications:
  • Masters or Ph.D. (Computer Science, Statistics, Petroleum Engineering, Reservoir Engineering, Geosciences, Physics, Mathematics, Economics)
  • Minimum 5 years of Data Science experience for Ph.D. candidates or 7 years for Masters candidates
  • Minimum 5 years of work experience in one or more of the industry domains – Refining or Chemical Plants with focus on process engineering, plant reliability, asset integrity, operational improvement in manufacuring – with hands on experience handling data driven decisions
  • Minimum 5 years of experience in at least one of the following – Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models, Deep Learning, Genetic Algorithms, Fuzzy Logic, Inference Systems
  • Minimum of 5 years of experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments
  • Minimum 5 years of experience in statistical software - Python, R, Octave, Tensorflow, Caffe or Theano)
  • Minimum 5 years of programming experience (Python, R or similar)
Preferred Qualifications:
  • Familiarity with relational databases and intermediate level knowledge of SQL 
  • Ability to think creatively to solve real world business problems
  • Ability to work in a global collaborative team environment
  • Experience leading or collaborating with a team of data scientists in developing and delivering machine learning models that work in a production setting
  • Knowledge of UNIX or Linux environments
  • Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc.
  • Experience working with large data streaming technologies like Spark, Flink, etc.
  • Familiarity with relational databases and intermediate level knowledge of SQL 
  • Proficient verbal and written communication skills in English
OUR COMMITMENT TO YOU
  • Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
  • You’ll make a difference for some pretty impressive clients. Accenture serves many of the Fortune Global 100 on high-profile projects.
  • Opportunities to learn daily through training, assignments and collaboration with experts across the company.
  • Access to leading-edge technology.
  • Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and benefits
 
CALL TO ACTION
 
Now is the time to become a digital disrupter. The opportunity is here—what’s stopping you from pursuing it?
 
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity
 
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state or local law. 

Accenture is committed to providing veteran employment opportunities to our service men and women.
 
 
 

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