Data Scientist
Descripción
JOB DESCRIPTION
Job Title: DATA SCIENTIST (I)
Summary/Objective: Data Scientist (1) will be responsible for supporting and developing advanced analytics and AI/ML needs. Their primary duties include researching business processes and creating data assets and/or processes that transform data into actionable opportunities. This role offers the opportunity to leverage data analytics skills to solve complex business problems and drive data-guided decision making. This is a perfect opportunity for those passionate about data science and eager to grow their career in a supportive and innovative environment.
Essential Functions/Responsibilities:
- Connecting dots and communicate gaps up stream to supporting teams, as well as downstream to consumers.
- Assisting with corporate wide reporting and dashboard needs.
- Designing and implementing machine learning algorithms and statistical models to solve critical business problems.
- Participating in data collection and data preprocessing activities.
- Analyzing large, complex datasets to reveal underlying patterns, correlations, and trends.
- Assisting in creating clear and comprehensive reports and presentations for business use.
- Working with cross-functional teams to understand business needs and provide analytical solutions.
- Keeping up-to-date with the latest technology trends
*The responsibilities as defined are intended to serve as a general guideline for this position. Associates may be asked to perform additional tasks depending on strengths and capabilities. *
Required Experience:
- 2+ years’ experience in a Data Role; preferably in sales, marketing, or manufacturing. Connector Manufacturing, Operations, Sales, or Marketing experience is desired.
- Proven leadership skills and ability to work independently.
- Excellent communication skills and demonstrated problem-solving ability.
- Detail oriented, excellent problem solving, multi-tasking, and investigation skills.
- Excellent interpersonal skills in relating to both internal and external customers.
- Proficient is MS Office applications (PowerPoint, Excel, Word, Outlook).
- Extensive experience in Redshift or SQL, Redshift is preferred.
- Extensive experience in production quality Python or R, Python is preferred.
- Product, Process, Tooling, and alternative manufacturing method knowledge preferred.
Preferred Education:
- Bachelor's degree or higher in Mathematics, Physics, Engineering, or a related field is preferred.
- Experience can be substituted for educational requirements.
Training Required:
- On the job training as appropriate.