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Temporary Machine Learning Scientist Jobs in Frisco, TX

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate business requirements into technical solutions. * Develop, evaluate, and tune machine learning ...

Vizient, Inc.

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

Vizient

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

$140 - $190/hr

D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog ...

Vizient, Inc

AVP, Machine Learning & Modeling

Irving, TX · On-site

$157 - $290/hr

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.

Yum! Brands

Machine Learning Engineer II

Plano, TX · On-site

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Bachelor's or master's degree in computer science, engineering, mathematics, or a related field.

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

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All JobsMachine Learning Scientist JobsTemporary Machine Learning Scientist JobsTemporary Machine Learning Scientist Jobs in Frisco, TX

Temporary Machine Learning Scientist information

What is a temporary machine learning scientist?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do temporary machine learning scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a temporary machine learning scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.

What is the difference between Temporary Machine Learning Scientist vs Data Scientist?

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What are popular job titles related to Temporary Machine Learning Scientist jobs in Frisco, TX?

For Temporary Machine Learning Scientist jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Scientist jobs in Frisco, TX look for?

The top searched job categories for Temporary Machine Learning Scientist jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Temporary Machine Learning Scientist jobs?

Cities near Frisco, TX with the most Temporary Machine Learning Scientist job openings:

Temporary Machine Learning Scientist jobs near you

Machine Learning Engineer II

7-Eleven

Irving, TX • On-site

Full-time

Posted 14 days ago

7-Eleven rating

4.3

Company rating: 4.3 out of 10

Based on 845 frontline employees who took The Breakroom Quiz

39th of 47 rated convenience stores

Job description

7-Eleven is an iconic family of brands with over 86,000 locations, surpassing every retailer in the world. We revolutionize convenience, restaurants and fuel through cutting edge innovation - working hard to be the customer's first choice. 7-Eleven empowers our employees to "activate awesome" and make a meaningful impact in their stores and communities every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.
Job Summary
We are seeking a talented Machine Learning Engineer to design, develop, and deploy scalable machine learning solutions that drive business value as part of our digital initiatives. As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your expertise in big data technologies, cloud-based data platforms, and machine learning model development, will contribute to the transformation of telemetry data and other large datasets into actionable insights.
Key Responsibilities:
  • Design, develop, test, and deploy machine learning models and data-driven solutions that transform store equipment telemetry data into actionable insights.
  • Work in enterprise environments to build and optimize scalable data pipelines using Python, PySpark, and Azure-based technologies.
  • Process, analyze, and manipulate large structured and unstructured datasets to support analytics and machine learning initiatives.
  • Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate business requirements into technical solutions.
  • Develop, evaluate, and tune machine learning models using appropriate algorithms and statistical techniques.
  • Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
  • Create visualizations, dashboards, and presentations to communicate insights and recommendations to technical and non-technical audiences.
  • Participate in code reviews, technical design discussions, and continuous improvement initiatives.

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • 5+ years of experience delivering big data and machine learning solutions in enterprise environments.
  • Strong programming experience in Python and PySpark.
  • Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps.
  • Experience building, training, validating, and deploying machine learning models.
  • Solid understanding of data structures, algorithms, software engineering principles, and distributed computing concepts.
  • Experience working with large-scale datasets and cloud-native architectures.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:
  • Experience deploying and operationalizing machine learning models in Azure Databricks.
  • Experience with MLOps frameworks and CI/CD pipelines for machine learning workloads.
  • Experience with data visualization tools such as Power BI, Tableau, or equivalent platforms.
  • Experience working with equipment telemetry data or on equipment maintenance projects.
  • Knowledge of containerization technologies and cloud-native application development.

Machine Learning Expertise:
  • Clustering and segmentation techniques.
  • Generalized Linear Models (GLM), Linear Regression, and Logistic Regression.
  • Decision Trees and Random Forests.
  • Gradient boosting techniques including XGBoost.
  • K-Nearest Neighbors (KNN).
  • Support Vector Machines (SVM).
  • Artificial Neural Networks (ANN) and deep learning concepts.
  • Model evaluation, feature engineering, hyperparameter tuning, and performance optimization.

Success Factors:
  • Ability to work effectively in a fast-paced, collaborative environment.
  • Strong ownership mindset and commitment to delivering high-quality solutions.
  • Ability to communicate complex technical concepts to diverse stakeholder groups.
  • Passion for continuous learning and innovation in machine learning and cloud technologies.

If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith believes is the range of compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range is only applicable for jobs to be performed in this state. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link.
For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this link.

What 7-Eleven employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

7-Eleven logo

About 7-Eleven

Sourced by ZipRecruiter

As the world’s first convenience store, our top priority has always been to give customers the most convenient experience possible to consistently meet their needs. 7-Eleven aims to be a one-stop shop for consumers – a place people can always rely on to deliver what they want, when, where, and how they want it.

Industry

Food services and drinking places

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1927

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