Data Scientist

The Data Scientist is a pivotal role within our Data Science and Machine Learning team, driving the development of data-driven products and services. You will create and deploy efficient, scalable machine learning models while ensuring robust and optimized supporting infrastructure. Operate at the intersection of data science, machine learning, and MLOps - designing cloud-native platforms, automating model deployment pipelines, and creating monitoring and alerting tools. Your expertise in developing advanced models and maintaining production deployments will ensure reliable, high-performing machine learning solutions.

This position is based in our Waltham, MA office. We offer a flexible work environment. This means working up to 2 days a week remotely and the rest of the time in the office.

For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner's integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in the energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work.

We're excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We're looking for passionate people with great ideas to contribute to our company's future. If you're motivated by what's next, Global Partners can provide you the opportunities to push your career to the next level.

The Types of "Energy" You Bring

• Excellent written and verbal communication skills
• You are self-motivated and like to take initiative
• You are a team player with a positive attitude
• You have strong time management skills

"Gauges" of Responsibility

• Develop and deploy scalable machine learning models using statistical, machine learning, and deep learning methods, including advanced time series models, to extract insights into product features, user behavior, and business metrics.
• Build and maintain cloud-native MLOps platforms, automating end-to-end pipelines for data ingestion, model training, deployment, and monitoring on platforms like AWS and Snowflake.
• Collaborate with data engineers and cross-functional teams to design data pipelines, translate business needs into data science solutions, and present insights to shape product strategy.
• Optimize models for performance, scalability, and reliability, ensuring data quality, integrity, and governance throughout the lifecycle, while fostering a data-driven culture and continuous learning environment.

Fuel" for You

• Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development.
• Health + Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support.
• The Road Ahead - We offer 401k and a match component!
• Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service.
• Give Back! We believe in community support. We know everyone gives in their own way, that's why we offer paid volunteer time off to you to help an organization of your choice.

The GPS of our Interview Process

• First thing first, if you're interested in the role, please apply.
• A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact, you.
• We conduct "in-person" (ZOOM) interviews and provide additional interview information or other items needed at that time.

QUALIFICATIONS

• Bachelor's or master's degree in data science, Computer Science, Machine Learning, or a related field, with 3+ years of experience in developing and deploying machine learning models in production environments.
• Proven track record of implementing end-to-end machine learning solutions, including data collection, preprocessing, model deployment, and monitoring, using Python, SQL, and libraries like Pandas, NumPy, TensorFlow, PyTorch, and Scikit-Learn.
• Strong understanding of cloud platforms (e.g., AWS), including experience with services like S3, Lambda, SageMaker, and orchestration tools such as Kubernetes, Airflow, or Dagster.
• Hands-on experience with MLOps practices, including containerization (Docker), CI/CD pipelines, infrastructure as code (IaC) tools like Terraform or AWS CDK, and building scalable feature stores and data pipelines.
• Familiarity with time series forecasting methods, including statistical and deep learning models like ARIMA, LSTM, and Transformers.
• Knowledge of natural language processing (NLP), Retrieval-Augmented Generation (RAG) systems, and generative AI models for building advanced AI solutions.
• Strong analytical and problem-solving skills, with the ability to translate complex business challenges into data-driven solutions and effectively communicate findings to non-technical stakeholders.
• Knowledge of data governance, security best practices, and regulatory compliance for machine learning workflows, with experience in data warehousing solutions like Snowflake.
• A proactive, self-motivated attitude, with a passion for continuous learning, adaptability in a fast-paced environment, and a drive to stay updated with the latest trends in AI and MLOps.

We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences.

Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-891-4000.