Lead Data Scientist - Remote Opportunity with Target - Revolutionizing Retail through Data Science and AI
Join the Future of Retail with Target
Target is a multinational retail corporation renowned for its commitment to innovation, customer satisfaction, and community engagement. With a rich history spanning over a century, Target has evolved into a leader in the retail industry, leveraging cutting-edge technology and data science to drive business growth and enhance customer experiences. We are now seeking a highly skilled Lead Data Scientist to join our team remotely and play a pivotal role in shaping the future of retail through data-driven insights and AI-powered solutions.
Job Summary
As a Lead Data Scientist at Target, you will lead the development and implementation of advanced data science and machine learning solutions to tackle complex business problems in retail. You will utilize your expertise in data analysis, machine learning, and statistical modeling to drive business growth, improve operational efficiency, and enhance customer experiences. This is a full-time remote opportunity, offering a competitive salary range of $20-$30 per hour, with the flexibility to work from any location in the United States.
Key Responsibilities
Lead the development and implementation of long-term forecasting algorithms that solve business problems in retail, leveraging advanced statistical and machine learning techniques.
Automate manual processes and decision-making through the application of data science and statistical models, transforming retail operations.
Analyze large volumes of time-series data to generate actionable insights, driving new and innovative applications.
Investigate complex data sets, assess business issues, develop problem statements, define metrics, and drive possibility studies.
Perform data analysis tasks, extract insights, and create story sheets from data analysis.
Present clear and concise root-cause analysis to peer researchers and leadership.
Develop and lead large-scale implementations of machine learning models and algorithmic solutions using rich retail data sources.
Evaluate model performance and identify areas for improvement.
Collaborate with global AI teams, researchers, specialists, and colleagues to identify and lead new opportunities.
Essential Qualifications
Education
A Master's degree in Mathematics, Statistics, or a related quantitative field is required. Alternatively, a Ph.D. in a related field may be considered with less experience.
Experience
A minimum of 7 years of experience as a data or AI researcher, including participation in advanced AI activities (regression, clustering, and forecasting).
At least 2 years of experience working with large volumes of data and solving business problems.
Experience in developing and deploying data science solutions, including problem statement development, feature engineering, model development, evaluation, testing, and deployment.
Skills and Competencies
Proficiency in programming languages, including Python, SQL, R, SAS, and JavaScript.
Strong understanding of machine learning, deep learning, and statistical modeling techniques.
Experience with data mining, text mining, and data control.
Knowledge of data pipeline engineering, distributed systems, database engineering, and linear programming.
Excellent communication and presentation skills.
Preferred Qualifications
Education
A Ph.D. in Mathematics, Statistics, or a related quantitative field is preferred.
Experience
Experience working with Hive or Hadoop, AI, text mining, and Flash.
Familiarity with risk analysis and data control.
Career Growth Opportunities and Learning Benefits
At Target, we are committed to the growth and development of our employees. As a Lead Data Scientist, you will have access to:
Professional development opportunities, including training and mentorship programs.
Collaborative and dynamic work environment with a team of experienced data scientists and researchers.
Opportunities to work on high-impact projects, driving business growth and innovation.
Flexible work arrangements, including remote work options.
Work Environment and Company Culture
Target is a diverse and inclusive company, committed to fostering a culture of respect, empathy, and collaboration. Our company culture is built on the following values:
Respect: We treat each other with respect and dignity.
Integrity: We act with integrity and honesty.
Excellence: We strive for excellence in everything we do.
Collaboration: We work together as a team.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
Salary range: $20-$30 per hour.
Comprehensive benefits package, including medical, dental, and vision coverage.
Retirement savings plan.
Paid time off and holidays.
Americans with Disabilities Act (ADA)
Target is committed to providing reasonable accommodations to qualified individuals with disabilities and disabled veterans. If you require accommodations, please contact us.
How to Apply
If you are a motivated and talented data scientist looking to join a dynamic team and drive business growth through data-driven insights, please apply now. We look forward to hearing from you!
Apply Now
Target is a multinational retail corporation renowned for its commitment to innovation, customer satisfaction, and community engagement. With a rich history spanning over a century, Target has evolved into a leader in the retail industry, leveraging cutting-edge technology and data science to drive business growth and enhance customer experiences. We are now seeking a highly skilled Lead Data Scientist to join our team remotely and play a pivotal role in shaping the future of retail through data-driven insights and AI-powered solutions.
Job Summary
As a Lead Data Scientist at Target, you will lead the development and implementation of advanced data science and machine learning solutions to tackle complex business problems in retail. You will utilize your expertise in data analysis, machine learning, and statistical modeling to drive business growth, improve operational efficiency, and enhance customer experiences. This is a full-time remote opportunity, offering a competitive salary range of $20-$30 per hour, with the flexibility to work from any location in the United States.
Key Responsibilities
Lead the development and implementation of long-term forecasting algorithms that solve business problems in retail, leveraging advanced statistical and machine learning techniques.
Automate manual processes and decision-making through the application of data science and statistical models, transforming retail operations.
Analyze large volumes of time-series data to generate actionable insights, driving new and innovative applications.
Investigate complex data sets, assess business issues, develop problem statements, define metrics, and drive possibility studies.
Perform data analysis tasks, extract insights, and create story sheets from data analysis.
Present clear and concise root-cause analysis to peer researchers and leadership.
Develop and lead large-scale implementations of machine learning models and algorithmic solutions using rich retail data sources.
Evaluate model performance and identify areas for improvement.
Collaborate with global AI teams, researchers, specialists, and colleagues to identify and lead new opportunities.
Essential Qualifications
Education
A Master's degree in Mathematics, Statistics, or a related quantitative field is required. Alternatively, a Ph.D. in a related field may be considered with less experience.
Experience
A minimum of 7 years of experience as a data or AI researcher, including participation in advanced AI activities (regression, clustering, and forecasting).
At least 2 years of experience working with large volumes of data and solving business problems.
Experience in developing and deploying data science solutions, including problem statement development, feature engineering, model development, evaluation, testing, and deployment.
Skills and Competencies
Proficiency in programming languages, including Python, SQL, R, SAS, and JavaScript.
Strong understanding of machine learning, deep learning, and statistical modeling techniques.
Experience with data mining, text mining, and data control.
Knowledge of data pipeline engineering, distributed systems, database engineering, and linear programming.
Excellent communication and presentation skills.
Preferred Qualifications
Education
A Ph.D. in Mathematics, Statistics, or a related quantitative field is preferred.
Experience
Experience working with Hive or Hadoop, AI, text mining, and Flash.
Familiarity with risk analysis and data control.
Career Growth Opportunities and Learning Benefits
At Target, we are committed to the growth and development of our employees. As a Lead Data Scientist, you will have access to:
Professional development opportunities, including training and mentorship programs.
Collaborative and dynamic work environment with a team of experienced data scientists and researchers.
Opportunities to work on high-impact projects, driving business growth and innovation.
Flexible work arrangements, including remote work options.
Work Environment and Company Culture
Target is a diverse and inclusive company, committed to fostering a culture of respect, empathy, and collaboration. Our company culture is built on the following values:
Respect: We treat each other with respect and dignity.
Integrity: We act with integrity and honesty.
Excellence: We strive for excellence in everything we do.
Collaboration: We work together as a team.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
Salary range: $20-$30 per hour.
Comprehensive benefits package, including medical, dental, and vision coverage.
Retirement savings plan.
Paid time off and holidays.
Americans with Disabilities Act (ADA)
Target is committed to providing reasonable accommodations to qualified individuals with disabilities and disabled veterans. If you require accommodations, please contact us.
How to Apply
If you are a motivated and talented data scientist looking to join a dynamic team and drive business growth through data-driven insights, please apply now. We look forward to hearing from you!
Apply Now