Part Time Remote Data Scientist - Starbucks Data Entry Jobs with a Competitive $24/Hour Salary
Unlock Your Potential as a Data Scientist at Starbucks
Starbucks is on a mission to be more than just a coffee company. We're a community-driven organization that values connection, innovation, and inclusivity. As a global leader in the coffee industry, we're committed to making a positive impact on the lives of our partners, customers, and the environment. If you're passionate about data science and want to be part of a dynamic team that drives business decisions with data-driven insights, we invite you to explore this exciting opportunity.
About the Role
As a Data Scientist on our Data, Analytics, Insights, and Business Operations team, you'll play a critical role in helping Starbucks make informed decisions by leveraging data and analytics. You'll work collaboratively with cross-functional teams, including data engineers, business stakeholders, and external vendors to drive business outcomes. Your expertise in forecasting, automating ETL processes, and designing and building analytical models will be essential in driving our business forward.
Key Responsibilities
Extract data from various databases and perform exploratory data analysis, cleansing, wrangling, and aggregating data to drive business insights.
Determine analytical approaches to tackle business problems and integrate machine learning algorithms where appropriate to drive innovative solutions.
Utilize scaling and automation to streamline data preparation processes, ensuring efficiency and accuracy.
Transform model results into digestible patterns for end-users through visualization, clear tables, and smart presentations, and provide support to technical and non-technical stakeholders in interpreting and applying the insights.
Work closely with colleagues and technology teams from issue identification to solution implementation, driving a culture of collaboration and innovation.
Essential Qualifications
To succeed in this role, you'll need:
A Bachelor's degree or higher in a quantitative discipline, such as Statistics, Math, Computer Science, Engineering, Economics, or Quantitative Sociology.
A minimum of 2+ years of industry experience in data science, with a strong background in predictive and statistical modeling, machine learning, and proficiency in all stages of the modeling pipeline.
Experience building complex datasets from multiple data sources, both internal and external, and strong SQL, database, and ETL skills, including data cleaning and management.
Advanced proficiency and expertise in Python, R, or other relevant platforms.
The ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities.
Strong communication skills, with the ability to discuss complex ideas effectively with both technical and non-technical stakeholders.
A self-starter mindset, with attention to detail and a results-oriented approach, able to work under minimal supervision.
Preferred Qualifications
While not required, the following qualifications are highly preferred:
Experience working on Cloud platforms, such as Azure or AWS.
A graduate degree in a quantitative discipline.
Additional experience in data science or a related field.
What We Offer
As a part-time remote Data Scientist at Starbucks, you'll enjoy a competitive hourly salary of $24/hour, as well as a range of benefits and perks that support your well-being and career growth. Our company culture values diversity, equity, and inclusion, and we're committed to creating a welcoming and inclusive work environment that supports partners from diverse backgrounds and experiences.
Career Growth Opportunities
At Starbucks, we're dedicated to helping our partners grow and develop their skills. As a Data Scientist, you'll have opportunities to:
Work on complex and challenging projects that drive business outcomes.
Develop your skills in data science, machine learning, and analytics.
Collaborate with cross-functional teams to drive innovation and business results.
Participate in ongoing training and development programs to stay up-to-date with industry trends and best practices.
Our Company Culture
At Starbucks, we value:
Diversity, equity, and inclusion, and we're committed to creating a welcoming and inclusive work environment.
Innovation and creativity, and we're always looking for new ways to drive business results and improve our customers' experience.
Collaboration and teamwork, and we believe that together, we can achieve more than we can alone.
Partner development and growth, and we're dedicated to helping our partners grow and develop their skills.
How to Apply
If you're a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. All qualified candidates will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to making a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences.
Join us and be part of something bigger. Apply today!
Starbucks is committed to providing reasonable accommodations to job opportunity candidates with disabilities. If you need assistance or accommodation during the application process, please contact us.
Apply Now
Starbucks is on a mission to be more than just a coffee company. We're a community-driven organization that values connection, innovation, and inclusivity. As a global leader in the coffee industry, we're committed to making a positive impact on the lives of our partners, customers, and the environment. If you're passionate about data science and want to be part of a dynamic team that drives business decisions with data-driven insights, we invite you to explore this exciting opportunity.
About the Role
As a Data Scientist on our Data, Analytics, Insights, and Business Operations team, you'll play a critical role in helping Starbucks make informed decisions by leveraging data and analytics. You'll work collaboratively with cross-functional teams, including data engineers, business stakeholders, and external vendors to drive business outcomes. Your expertise in forecasting, automating ETL processes, and designing and building analytical models will be essential in driving our business forward.
Key Responsibilities
Extract data from various databases and perform exploratory data analysis, cleansing, wrangling, and aggregating data to drive business insights.
Determine analytical approaches to tackle business problems and integrate machine learning algorithms where appropriate to drive innovative solutions.
Utilize scaling and automation to streamline data preparation processes, ensuring efficiency and accuracy.
Transform model results into digestible patterns for end-users through visualization, clear tables, and smart presentations, and provide support to technical and non-technical stakeholders in interpreting and applying the insights.
Work closely with colleagues and technology teams from issue identification to solution implementation, driving a culture of collaboration and innovation.
Essential Qualifications
To succeed in this role, you'll need:
A Bachelor's degree or higher in a quantitative discipline, such as Statistics, Math, Computer Science, Engineering, Economics, or Quantitative Sociology.
A minimum of 2+ years of industry experience in data science, with a strong background in predictive and statistical modeling, machine learning, and proficiency in all stages of the modeling pipeline.
Experience building complex datasets from multiple data sources, both internal and external, and strong SQL, database, and ETL skills, including data cleaning and management.
Advanced proficiency and expertise in Python, R, or other relevant platforms.
The ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities.
Strong communication skills, with the ability to discuss complex ideas effectively with both technical and non-technical stakeholders.
A self-starter mindset, with attention to detail and a results-oriented approach, able to work under minimal supervision.
Preferred Qualifications
While not required, the following qualifications are highly preferred:
Experience working on Cloud platforms, such as Azure or AWS.
A graduate degree in a quantitative discipline.
Additional experience in data science or a related field.
What We Offer
As a part-time remote Data Scientist at Starbucks, you'll enjoy a competitive hourly salary of $24/hour, as well as a range of benefits and perks that support your well-being and career growth. Our company culture values diversity, equity, and inclusion, and we're committed to creating a welcoming and inclusive work environment that supports partners from diverse backgrounds and experiences.
Career Growth Opportunities
At Starbucks, we're dedicated to helping our partners grow and develop their skills. As a Data Scientist, you'll have opportunities to:
Work on complex and challenging projects that drive business outcomes.
Develop your skills in data science, machine learning, and analytics.
Collaborate with cross-functional teams to drive innovation and business results.
Participate in ongoing training and development programs to stay up-to-date with industry trends and best practices.
Our Company Culture
At Starbucks, we value:
Diversity, equity, and inclusion, and we're committed to creating a welcoming and inclusive work environment.
Innovation and creativity, and we're always looking for new ways to drive business results and improve our customers' experience.
Collaboration and teamwork, and we believe that together, we can achieve more than we can alone.
Partner development and growth, and we're dedicated to helping our partners grow and develop their skills.
How to Apply
If you're a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. All qualified candidates will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to making a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences.
Join us and be part of something bigger. Apply today!
Starbucks is committed to providing reasonable accommodations to job opportunity candidates with disabilities. If you need assistance or accommodation during the application process, please contact us.
Apply Now