DATA SCIENTIST

Job Title:

DATA SCIENTIST

Job Code:

SES407

At Shell Energy Solutions, we believe there’s a better way to power your business.

Aligned with Shell’s ambition to be a significant global power business and to become net zero by 2050, our cleaner, affordable, and simple solutions help companies manage their energy spend and plan their sustainability roadmap - a fresh approach for environmentally conscious businesses that are looking to boost their sustainability credentials. We also have set out to deliver the very best experience to our customers across all our channels.

Shell Energy Solutions' mission is to deliver cleaner energy solutions for a brighter tomorrow by guiding customers toward a better energy future, enabling customer choice, and providing market-leading energy solutions.

Going above and beyond for our customers is what we’re all about and we have set out to deliver the very best experience to our customers across all our channels. But bigger challenges lie ahead, and we need to keep moving forward. Are you ready to help us get there?

WHERE YOU FIT IN

We are looking for a highly motivated individual with a genuine interest in energy, technology, and a passion to deliver products for a growing company. As the Data Scientist, you will own the end-to-end pipeline for load forecasting, encompassing development, deployment, and integration with downstream services. You will engage in cross-functional projects, collaborating within our team and various teams across the organization to ensure seamless integration and alignment with business objectives. Your work will directly impact the company’s ability to make informed decisions, optimize operations, mitigate risks, and drive business growth.

Reporting to the Senior Machine Learning Engineer, the role requires a self-motivated, dedicated, and responsible individual with the ability to perform well under pressure.

JOB DUTIES & RESPONSIBILITIES (Main RESPONSIBILITIES and duties)

- Dig deep into available data to identify patterns, create datasets for predictive models, and improve the accuracy and precision of existing forecasting services

- Apply state-of-the-art machine learning and predictive modeling techniques to provide a deeper understanding of our customers and improve accuracy of our load forecasts

- Integrate the outcomes of load forecasting models into downstream services, such as gross profit reporting, to address key business needs

- Develop key metrics and visualizations to monitor and assess the performance of load forecasts, ensuring their accuracy and reliability

- Communicate modeling and engineering technical detail to stakeholders and partners to drive impact and facilitate decision making

- Other duties as assigned

ESSENTIAL SKILLS AND EXPERIENCE (Skills Needed to be SUCCESSFUL)

Successful job applicants will be able to perform these functions. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions.

- 1-3 years of experience using SQL to query large datasets in cloud-based data warehouses and data lakes

- 1-3 years of experience with machine learning and statistical methods, bonus points if experience is in time-series forecasting

- 1-3 years of experience in machine learning development in Python

- Fluency with data visualization to communicate complex topics in approachable ways

- Strong background in mathematics and statistics

- Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences

- Bonus if you have contextual work in the energy industry

- Bonus if you have experience with key data engineering frameworks: Apache Airflow, dbt, AWS services, Docker, Kubernetes

- Bonus if you have experience with software development lifecycle experience in GitHub (i.e. environment management, testing, deployment)

- Bonus if you have experience at a similar scale of data processing (Multi-TB/billion of rows)

- Bonus if you have experience with probabilistic modeling techniques such as Bayesian or conformal models

- Bonus if you have experience with machine learning frameworks: scikit-learn, Tensorflow/Keras, lifelines

- Bonus if you have experience with Hyper Parameter tuning frameworks such as Optuna

- Bonus if you have experience with cloud-based data intelligence platforms and ML tools such as Databricks, AWS Sagemaker, MLFlow

Location and work SCHEDULE

- Required to be in-person in Houston, TX, through a hybrid workplace environment

BENEFITS OF WORKING WITH Shell ENERGY

- Competitive Compensation

- Health Care - Medical/Dental/Vision/Prescription Drug Coverage

- 401(k) with Company Matching Contributions

- Flexible Spending Accounts (FSA)

- Health Savings Accounts (HSA)

- Disability Programs (STD & LTD)

- Employee Basic Term Life Insurance

- Generous Vacation & Company Holidays

- Flexible hybrid working schedule

- Training and coaching

- Tuition Reimbursement

- Paid Parental Leave

- And much more!

SHELL ENERGY VALUES

Shell Energy Solutions is a company with shared values. Honesty, integrity, and respect aren't simply a strapline; they are part of everything we do. What's more, Shell Energy Solutions is an equal opportunities company, and we place the highest possible value on the diversity of our people and our inclusive approach. Join us and you’ll belong to a world where you are proud of your achievements and propel your career with global opportunities. We care deeply about fostering a truly diverse workplace.

- Job descriptions are not intended as, nor should be construed to be, exhaustive lists of all responsibilities, skills, efforts, or working conditions associated with a job. They are intended to be accurate reflections of those principal job duties and responsibilities essential for making fair pay decisions about the job.