... Data Scientist. In this role, you will guide business decisions by building and applying ... Responsibilities : • Develop and apply analytical models (statistical and/or machine learning) to ...
... Data Scientist. In this role, you will guide business decisions by building and applying ... Responsibilities : • Develop and apply analytical models (statistical and/or machine learning) to ...
Sr. Data Scientist
Memphis, TN · On-site
Role: Sr. Data Scientist Duration: Full Time / Permanent Location: Memphis, TN Required Skills ... Excellent understanding and experience with application of machine learning concepts and techniques ...
Sr. Data Scientist
Memphis, TN · On-site
Role: Sr. Data Scientist Duration: Full Time / Permanent Location: Memphis, TN Required Skills ... Excellent understanding and experience with application of machine learning concepts and techniques ...
Data Scientist
Goodlettsville, TN · On-site
MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied ... Machine Learning libraries.
Data Scientist
Goodlettsville, TN · On-site
MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied ... Machine Learning libraries.
The role will develop advanced statistical methods using Machine Learning, AI, statistical modeling ... The Data Scientist will lead cross-functional projects, design and implement predictive models, and ...
New
The role will develop advanced statistical methods using Machine Learning, AI, statistical modeling ... The Data Scientist will lead cross-functional projects, design and implement predictive models, and ...
New
Data Scientist
Memphis, TN · On-site
Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...
Data Scientist
Memphis, TN · On-site
Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...
Data Scientist
Chattanooga, TN · On-site
Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...
Data Scientist
Chattanooga, TN · On-site
Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...
Work within the Data Science Team to define common problems and identify opportunities in the ... Curiosity about machine learning. You know a few things about learning algorithms, data ...
Work within the Data Science Team to define common problems and identify opportunities in the ... Curiosity about machine learning. You know a few things about learning algorithms, data ...
Work within the Data Science Team to define common problems and identify opportunities in the ... Curiosity about machine learning. You know a few things about learning algorithms, data ...
Work within the Data Science Team to define common problems and identify opportunities in the ... Curiosity about machine learning. You know a few things about learning algorithms, data ...
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...
Summer 2027 Intern - Machine Learning Engineering
Nashville, TN · On-site
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Nashville, TN · On-site
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Knoxville, TN · On-site +1
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Knoxville, TN · On-site +1
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Jackson, TN · On-site
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Jackson, TN · On-site
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Memphis, TN · On-site +1
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Memphis, TN · On-site +1
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Knoxville, TN · On-site
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Knoxville, TN · On-site
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Nashville, TN · On-site +1
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Summer 2027 Intern - Machine Learning Engineering
Nashville, TN · On-site +1
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...
Temporary Data Scientist Machine Learning information
What does a temporary data scientist specializing in machine learning do?
A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.
What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?
To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.
What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?
As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?
| Aspect | Temporary Data Scientist Machine Learning | Temporary Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithms | Bachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools |
| Work Environment | Project-based, collaborative teams, tech-focused companies | Business units, reporting teams, data-driven departments |
| Employer & Industry Usage | Tech firms, finance, healthcare, e-commerce | Retail, marketing, finance, consulting |
Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Tennessee?
The most popular types of Data Scientist Machine Learning jobs in Tennessee are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Tennessee?
For Temporary Data Scientist Machine Learning jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Tennessee look for?
The top searched job categories for Temporary Data Scientist Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Temporary Data Scientist Machine Learning jobs?
Cities in Tennessee with the most Temporary Data Scientist Machine Learning job openings:
Full-time
Re-posted 4 days ago
Starbucks rating
6.7
Based on 3,646 frontline employees who took The Breakroom Quiz
3rd of 16 rated cafes
Job description
Job Summary:
Starbucks is a company known for celebrating coffee and rich tradition, and they are seeking a Senior/Lead Data Scientist. In this role, you will guide business decisions by building and applying statistical and machine learning approaches to solve high-impact problems.
Responsibilities:
• Develop and apply analytical models (statistical and/or machine learning) to improve decision-making, performance, and customer/partner outcomes.
• Translate business problems into data science solutions by defining approach, sourcing/validating data, and communicating clear recommendations to technical and non-technical stakeholders.
• Operationalize your work by creating repeatable analysis/model pipelines, improving model performance over time, and contributing to shared standards (documentation, version control, reproducibility).
Qualifications:
Required:
• 4+ years in data science, applied analytics, or a closely related field
• BA/BS in a quantitative field (or equivalent practical experience)
• Proficiency with Python or R and SQL
Preferred:
• MS/PhD in a quantitative discipline (or equivalent advanced experience)
• Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)
• Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)
• Familiarity with experiment design / causal inference and translating results into business actions
• Demonstrated ability to mentor others and influence cross-functional partners toward adoption
Company:
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items. Founded in 1971, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.
Starbucks is a company known for celebrating coffee and rich tradition, and they are seeking a Senior/Lead Data Scientist. In this role, you will guide business decisions by building and applying statistical and machine learning approaches to solve high-impact problems.
Responsibilities:
• Develop and apply analytical models (statistical and/or machine learning) to improve decision-making, performance, and customer/partner outcomes.
• Translate business problems into data science solutions by defining approach, sourcing/validating data, and communicating clear recommendations to technical and non-technical stakeholders.
• Operationalize your work by creating repeatable analysis/model pipelines, improving model performance over time, and contributing to shared standards (documentation, version control, reproducibility).
Qualifications:
Required:
• 4+ years in data science, applied analytics, or a closely related field
• BA/BS in a quantitative field (or equivalent practical experience)
• Proficiency with Python or R and SQL
Preferred:
• MS/PhD in a quantitative discipline (or equivalent advanced experience)
• Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)
• Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)
• Familiarity with experiment design / causal inference and translating results into business actions
• Demonstrated ability to mentor others and influence cross-functional partners toward adoption
Company:
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items. Founded in 1971, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Starbucks employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Starbucks
Sourced by ZipRecruiter
Starbucks Corporation is an American multinational chain of coffeehouses and roastery reserves. It is one of the largest coffeehouse chains in the world. Starbucks was founded in Seattle, Washington in 1971 by Jerry Baldwin, Zev Siegl, and Gordon Bowker. The company's initial focus was on selling whole coffee beans and coffee-making equipment. Over the years, Starbucks has expanded its operations and become known for its distinctive coffeehouse atmosphere and high-quality coffee products. The company offers a wide range of beverages, including various coffee-based drinks, teas, hot chocolates, and other specialty drinks. Starbucks also serves a variety of food items such as pastries, sandwiches, salads, and snacks. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. In addition to its traditional coffeehouses, Starbucks has expanded its brand to include different store formats. This includes drive-thru locations, express stores, and even upscale Reserve Roasteries and Reserve Bars that offer a more immersive coffee experience. Starbucks is also known for its ethical sourcing practices. The company has implemented programs such as Coffee and Farmer Equity (C.A.F.E.) Practices, which promote environmentally friendly and socially responsible coffee production. Starbucks has a commitment to ethically sourcing its coffee beans and has made efforts to support sustainable farming practices and improve the livelihoods of coffee farmers. The Starbucks brand has a global presence, with thousands of stores in countries around the world. It has become a symbol of premium coffee and a popular destination for coffee lovers worldwide. The company's success has made it an iconic brand and a significant player in the global coffee industry.
Industry
Food services and drinking places and restaurants
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US