We are searching for an organized Data Scientist to join our growing team at Dale Workforce Solutions in Thousand Oaks, CA.
Growing your career as a Full-Time Data Scientist is an unparalleled opportunity to develop exceptional skills.
If you are strong in persuasion, negotiation and have the right commitment for the job, then apply for the position of Data Scientist at Dale Workforce Solutions today!
100% remote
Job Description:
We are seeking a talented and motivated Data Scientist to join our team at Client Global Supply Chain. In this role, you will play a key part in advancing our Digital Supply Chain initiatives by leveraging data-driven insights to optimize operations and enhance overall efficiency.
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.
Qualifications:
A degree in Data Science, Computer Science, Statistics, or a related field.
Proven experience as a Data Scientist, preferably in the biotech or pharmaceutical industry.
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).
Proficiency in developing data analytics apps using available frameworks in Python, such as Streamlit, Plotly Dash, and Flask.
Strong understanding of supply chain and operations processes.
Excellent communication skills with the ability to convey complex findings to both technical and non-technical stakeholders.
Preferred Qualifications:
Experience with big data technologies and tools (e.g., Databricks, Spark).
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Working knowledge of data visualization tools (e.g., Tableau, Power BI).
Benefits of working as a Data Scientist in Thousand Oaks, CA:
● Opportunity to Make a Difference
● Advancement opportunities
● Attractive packageCompetitive Pay
No CV Required
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