What are the responsibilities and job description for the Data Scientist position at Randstad Digital Americas?
Job Summary
Join our Merchandise Operations Management team to help transform and modernize global merchandising, financial, and pricing systems. In this role, you will apply predictive analytics, statistical modeling, and machine learning solutions to solve high-impact retail and supply chain challenges across our business functions.
location: Telecommute
job type: Contract
salary: $70.98 - 80.98 per hour
work hours: 8am to 5pm
education: Bachelors
Responsibilities
REQUIRED QUALIFICATIONS
5 to 10 years of professional experience in a data science, data analytics, or quantitative engineering role.
Strong proficiency in Python, SQL, Unix/Linux Shell Scripting, and Stored Procedures.
Experience with Python data frameworks (Pandas, scikit-learn, PyTorch, Matplotlib, or Plotly).
Hands-on experience with ETL tools (Talend, DataStage, MoveIT) and Enterprise Data Warehouses (Snowflake or Oracle).
Practical exposure to CI/CD workflows and automated pipelines.
Preferred Qualifications
Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
Experience building product recommendation systems or time-series models.
Proficiency with visualization tools like Tableau or Power BI.
Hands-on experience using CI/CD automation tools such as Jenkins, GitHub, and Control-M.
Skills
A/B testing,CI/CD,Control-M,Data Architect,scalable data pipelines,data pipelines,Data visualization,Enterprise Data Warehouse,Database experience,ETL,GitHub,DataStage,Computer Science,Jenkins,Linux,machine learning models,machine learning,Matplotlib,Oracle,Pandas,Plotly,Power BI,Python,PyTorch,recommendation systems,SQL,Stored Procedures,scikit-learn,Snowflake,Tableau,Talend,Unix Shell Scripting,Communicate,verbal and written communication skills,problem-solving abilities,financial reporting,algorithms,algorithmic,automated,Automation,business operations,business initiatives,Data Science,experimental designs,executive decision-making,Financial systems,Mathematics,mathematical,Management systems,merchandising,Operations Management,inventory,Pricing,testing,time-series analysis,time-series,visualization libraries,workflows
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Join our Merchandise Operations Management team to help transform and modernize global merchandising, financial, and pricing systems. In this role, you will apply predictive analytics, statistical modeling, and machine learning solutions to solve high-impact retail and supply chain challenges across our business functions.
location: Telecommute
job type: Contract
salary: $70.98 - 80.98 per hour
work hours: 8am to 5pm
education: Bachelors
Responsibilities
- Develop, test, and deploy machine learning algorithms and predictive models to optimize business operations.
- Architect and manage automated data pipelines for scalable reporting, analytics, and model production.
- Perform time-series analysis and experimental designs (A/B testing) to measure business impact.
- Translate complex data science concepts into clear insights and strategies for cross-functional partners.
REQUIRED QUALIFICATIONS
5 to 10 years of professional experience in a data science, data analytics, or quantitative engineering role.
Strong proficiency in Python, SQL, Unix/Linux Shell Scripting, and Stored Procedures.
Experience with Python data frameworks (Pandas, scikit-learn, PyTorch, Matplotlib, or Plotly).
Hands-on experience with ETL tools (Talend, DataStage, MoveIT) and Enterprise Data Warehouses (Snowflake or Oracle).
Practical exposure to CI/CD workflows and automated pipelines.
Preferred Qualifications
Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
Experience building product recommendation systems or time-series models.
Proficiency with visualization tools like Tableau or Power BI.
Hands-on experience using CI/CD automation tools such as Jenkins, GitHub, and Control-M.
Skills
A/B testing,CI/CD,Control-M,Data Architect,scalable data pipelines,data pipelines,Data visualization,Enterprise Data Warehouse,Database experience,ETL,GitHub,DataStage,Computer Science,Jenkins,Linux,machine learning models,machine learning,Matplotlib,Oracle,Pandas,Plotly,Power BI,Python,PyTorch,recommendation systems,SQL,Stored Procedures,scikit-learn,Snowflake,Tableau,Talend,Unix Shell Scripting,Communicate,verbal and written communication skills,problem-solving abilities,financial reporting,algorithms,algorithmic,automated,Automation,business operations,business initiatives,Data Science,experimental designs,executive decision-making,Financial systems,Mathematics,mathematical,Management systems,merchandising,Operations Management,inventory,Pricing,testing,time-series analysis,time-series,visualization libraries,workflows
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Salary : $71 - $81