Translate stakeholder requirements into actionable data science solutions that drive business outcomes
Execute and deliver data science projects within the team’s portfolio to meet defined timelines and quality standards
Collaborate with cross functional partners to support AI and cloud-based initiatives that enhance data utilization
Build and deliver presentations that clearly communicate analytical findings and project recommendations
Apply fundamental and advanced data science methods to solve problems and improve decision making
Identify and articulate opportunities where machine learning can be applied to business challenges
Utilize cloud-native tools to support data storage, distributed computing, and analytics workflows
Manage individual project tasks, proactively identifying and escalating risks to maintain project continuity

Requirements

Bachelor’s degree in data science, computer science, mathematics, statistics, or a related field
Minimum 2 years of data science experience
Proficiency in at least one programming language used in AI and data science (e.g., Python, R, Scala, Spark)
Proficiency in at least two statistical techniques (e.g., time series modeling, classification, computer vision)
Experience with SQL and database technologies
Master’s degree (preferred)
Experience with ERP systems (e.g., SAP) (preferred)
Familiarity with cloud-based tools and platforms (e.g., Azure, AWS, GCP, Apache Spark, Power BI) (preferred)
Familiarity with data visualization methods (e.g., correlation heat maps, bubble charts) (preferred)
Familiarity with Git for version control and object-oriented programming and data structures (preferred)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningPythonRScalaSparkSQLtime series modelingclassificationcomputer vision

Soft Skills

collaborationcommunicationproject managementproblem solvingrisk identification