Data Scientist
đź“Ť
United States
🧪
Mid-Senior level
About USDM
USDM Life Sciences is a premier consulting company with 20+ years of experience assisting heavily regulated biotech, medical device, and pharmaceutical companies with their GxP technologies to accelerate growth. Our deep domain knowledge and technology expertise in life sciences business processes are what set us apart. From strategy to implementation and adoption, we have delivered thousands of GxP projects globally.
As part of the USDM team, you will have the opportunity to work with cutting-edge technologies through our many partnerships with companies like Microsoft, Google, Oracle, DocuSign, Box, and many more. From molecule to market, you will help connect technology, people, and data in new ways to generate real-time insights to improve business outcomes for USDM’s clients. Are you ready to make an impact and drive real digital transformation in life sciences?
Founded in Santa Barbara in 1999, USDM has grown into a progressive, global company with 300+ remote employees and offices throughout the US, Canada, and Germany.
Nature and Scope of Job
USDM Life Sciences is seeking Data Scientist to support our client with Global Supply Chain. In this role, you will play a key part in advancing our client's Digital Supply Chain initiatives by leveraging data-driven insights to optimize operations and enhance overall efficiency.
Primary Responsibilities
The working conditions described here are representative of those that must be met by an employee to successfully perform the essential responsibilities and functions of the job and are not meant to be all-inclusive. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential responsibilities and functions of the job.
Unless reasonable accommodations can be made, while performing this job the staff member shall:
USDM Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Disclaimer
This job description is intended to describe the general nature and the level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. USDM Life Sciences reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.
Compensation
W2 candidates only.
Salary/Hourly Rate Range (W2): USD 31.00 - 51.00
The base salary/hourly rate range represents the anticipated low and high end of the USDM’s compensation range for this position. Actual salaries/hourly rates will vary and will be based on various factors, such as the candidate’s qualifications, skills, competencies, and proficiency for the role. The compensation described above is subject to change and could be higher or lower than the range described based on market survey data or budget.
Full-time employees are eligible for health, vision, and dental insurance, life insurance, short and long-term disability, hospital indemnity, accident, and critical care coverage.
Both full and part-time employees, who are at least 21 years of age, are eligible to participate in USDM's 401k plan. Full and part-time employees may be eligible for paid time off.
All employees are eligible for USDM's rewards and recognition program.
For more details about our benefits, visit us here: https://usdm.com/careers
USDM Life Sciences is a premier consulting company with 20+ years of experience assisting heavily regulated biotech, medical device, and pharmaceutical companies with their GxP technologies to accelerate growth. Our deep domain knowledge and technology expertise in life sciences business processes are what set us apart. From strategy to implementation and adoption, we have delivered thousands of GxP projects globally.
As part of the USDM team, you will have the opportunity to work with cutting-edge technologies through our many partnerships with companies like Microsoft, Google, Oracle, DocuSign, Box, and many more. From molecule to market, you will help connect technology, people, and data in new ways to generate real-time insights to improve business outcomes for USDM’s clients. Are you ready to make an impact and drive real digital transformation in life sciences?
Founded in Santa Barbara in 1999, USDM has grown into a progressive, global company with 300+ remote employees and offices throughout the US, Canada, and Germany.
Nature and Scope of Job
USDM Life Sciences is seeking Data Scientist to support our client with Global Supply Chain. In this role, you will play a key part in advancing our client's Digital Supply Chain initiatives by leveraging data-driven insights to optimize operations and enhance overall efficiency.
Primary Responsibilities
- Collaborate with cross-functional teams to identify and define data science opportunities within the Digital Supply Chain.
- Design and implement machine learning models, algorithms, and statistical analyses to extract meaningful insights from complex datasets.
- Develop predictive models to forecast demand, optimize inventory levels, and enhance supply chain visibility.
- Work closely with stakeholders to understand business requirements and translate them into actionable data science solutions.
- Stay current with industry trends and emerging technologies to continuously improve and innovate data science practices within the organization.
- Perform additional tasks as assigned.
- 5-6 years of experience in the industry.
- Must be proficient in Python and SQL coding.
- Familiar with secular machine learning prediction and Python-based data visualization
- Experience in data science, biotech, and biopharma industry.
- Must have experience working in the supply chain and operations processes domain.
- Experience with building end-to-end data and analytics applications in Python (e.g., Streamlit, Plotly Dash).
- Proficiency in programming languages such as Python, with a focus on data analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., scikit-learn).
- Excellent communication skills with the ability to convey complex findings to both technical and non-technical stakeholders.
- Experience with big data technologies and tools (e.g., Databricks, Spark).
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- A Bachelor's degree in Data Science, Statistics, Computer Science, or a related field is required.
The working conditions described here are representative of those that must be met by an employee to successfully perform the essential responsibilities and functions of the job and are not meant to be all-inclusive. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential responsibilities and functions of the job.
Unless reasonable accommodations can be made, while performing this job the staff member shall:
- Sit or stand at a desk in an environmentally controlled office environment for prolonged periods of time.
- Constantly operate a computer and other office productivity machinery, such as a calculator, scanner, or printer.
- Frequently communicate with stakeholders via telephone, email, or instant message. Must be able to exchange accurate information in these situations.
USDM Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Disclaimer
This job description is intended to describe the general nature and the level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. USDM Life Sciences reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.
Compensation
W2 candidates only.
Salary/Hourly Rate Range (W2): USD 31.00 - 51.00
The base salary/hourly rate range represents the anticipated low and high end of the USDM’s compensation range for this position. Actual salaries/hourly rates will vary and will be based on various factors, such as the candidate’s qualifications, skills, competencies, and proficiency for the role. The compensation described above is subject to change and could be higher or lower than the range described based on market survey data or budget.
Full-time employees are eligible for health, vision, and dental insurance, life insurance, short and long-term disability, hospital indemnity, accident, and critical care coverage.
Both full and part-time employees, who are at least 21 years of age, are eligible to participate in USDM's 401k plan. Full and part-time employees may be eligible for paid time off.
All employees are eligible for USDM's rewards and recognition program.
For more details about our benefits, visit us here: https://usdm.com/careers