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Senior Data Scientist in Houston, TX at Verisk Analytics

Date Posted: 8/30/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Houston, TX
  • Job Type:
  • Experience:
    Greater than 15 years
  • Date Posted:
    8/30/2018

Job Description


 

Title: Senior Data Scientist

Location: Houston, TX USA

Company 

For the past 40 years, Wood Mackenzie has established its reputation as a trusted source of intelligence, enriching lives by empowering clients with unique insight on the world’s natural resources.

Now, as part of the Verisk family, that legacy is even stronger. Aligning with the world’s leading data analytics company extends our ability to support clients with our unrivalled analysis and advice.

Together, we inspire and innovate the markets we serve – providing invaluable intelligence that informs the strategy that will ultimately shape the future direction of our global natural resources.

Role Purpose 

We are seeking a Senior Data Scientist for our Analytics Lab group to generate innovative data solutions that will solve complex business problems in collaboration with our clients. They will have experience in applying data mining techniques, performing statistical interpretation and building algorithmic models utilising expansive datasets. They should have strong communication and interpersonal skills and will be able to present their findings to colleagues from all areas of the business and to clients.

The role requires a strong data-focussed personality, with a keen eye for detail. They should have experience of working in a data environment with multiple streams of data. We are looking for someone who has an innovative approach to working with data and is willing to learn technologies that create new data solutions. 

The successful candidate will embrace advanced techniques in machine learning and artificial intelligence. They will be responsible for applying data science to our client’s business problems and communicating the new insights developed through their work. Achieving results will hinge on an ability to work collaboratively with colleagues across organizations and stakeholder groups, developing creative solutions to new problems, and leveraging the expertise and talents of Wood Mackenzie and the wider Verisk company group. 

Main Responsibilities

  • Developing analytical solutions using a variety of methodologies including predictive modelling, text mining, forecasting, network analytics and image processing
  • Performing model validation, and measuring model performance. Run and interpret hypothesis testing
  • Promote a culture of continual growth, ensure we adapt with technical innovations to deliver new insights and creative solutions. Coach junior colleagues in these methods
  • Report findings and interpretation of results through data visualisation or presentation in an effective manor
  • Create prototype tools to demonstrate findings – building into scalable solutions where appropriate.
  • Hold strategic relationships with different business stakeholders across Research, Product Management and Technology. Relate actions to strategic and commercial goals.

Knowledge & Experience Required

  • Strong analytical skills including algorithm design with different mathematical approaches such as cluster and principal component analysis, linear and logistic regression
  • Expert programming skills, particularly in Python, R, SAS
  • Has delivered projects using Machine Learning libraries, such as TensorFlow, AML, scikit-learn, MLlib
  • Strong data modelling skills and experience of working with both structured and unstructured data
  • Evidence of having delivered scalable solutions using Big Data technologies like Hadoop, Spark, Hive, Pig
  • Advanced skills in a data visualisation packages (such as D3, PowerBI, GGplot).

Core Competencies

  • Excellent problem solving and analysis skills coupled with great communication skills with the ability to coach junior colleagues
  • Strong organization, interpersonal and planning skills, with the ability to manage multiple priorities simultaneously for own work and others across multi-disciplinary teams
  • Experience and passion for working with complex data with a strong attention to detail and statistical intuition
  • Evidence of delivering innovative solutions having challenged conventional thinking and demonstrated how data science can inform and support decision making. 

Wood Mackenzie Core Values

Wood Mackenzie is a place where we are committed to supporting our people to grow and thrive. We value different perspectives and aspire to create an inclusive environment which encourages diversity and fosters a sense of belonging.

Our core values are:

  • Respect for the Individual
  • Integrity
  • Passion
  • Persistence
  • Confidence with humility
  • Excellence
  • Teamwork 

We understand the importance of achieving balance between work, family and other life commitments. We are open to considering flexible working arrangements to enable the greatest spectrum of talent to contribute to Wood Mackenzie's success.

EEO statement

Unsolicited resumes submitted to Maplecroft by any external recruitment agency via Internet, e-mail, fax, or U.S. mail become the property of Wood Mackenzie and we are not responsible for any fees associated with those resumes.

In compliance with the Civil Rights Act of 1964 and 1991, the Age Discrimination in Employment Act of 1967, Section 504 of the Rehabilitation Act of 1973, the Americans with Disabilities act of 1990 and all other relevant federal and state laws, the policy of this company prohibits discrimination in employment because of race, color, religion, national origin, sex, gender identity and/or expression, age, veteran’s status, disability, genetic information or any other group protected by law. Applicants are considered for all positions without regard to race, color, religion, national origin, sex, gender identity and/or expression, age, veteran’s status, disability, genetic information or any other group protected by law.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access WoodMac.com/careers on-line as a result of your disability. You can request reasonable accommodations sending an email to hrenquiries@woodmac.com.

We are an Equal Opportunity Employer M/F/V/D, and a member of E-Verify.

http://www.eeoc.gov/

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