Data Scientist - Associate or Experienced Level
About The Position
A Data Scientist will focus on developing specialized knowledge in particular domains to effectively address business specific challenges. Will work on solving mid-level complexity business problems by designing and implementing customized data solutions. This involves leveraging statistical analysis, machine learning techniques, and data visualization tools to create models and algorithms that provide actionable insights. By collaborating with other team members and stakeholders, they ensure that the solutions are aligned with business objectives and can be integrated into existing processes. Additionally, they will continuously refine their skills and stay updated with the latest advancements in data science to enhance their problem-solving capabilities and contribute to the organization’s overall data strategy.
Requirements
- Bachelor’s degree in computer science, data science, statistics, math or a related analytical concentration is required. Other bachelor’s degrees with data science relevant certifications will be considered.
- Bachelor’s degree in computer science, data science, math, statistics, math, or related with an analytical concentration.
- A minimum of 3 years working as a data scientist or application developer (2 years with MS or Ph.D). Relevant certifications can be considered in lieu of a post graduate degree in combination with years of experience. (i.e. MLOps, data platform certs, etc.)
Responsibilities
- Collecting and cleaning data from various sources and ensuring data quality.
- Manipulating and transforming data using tools like SQL, Python, and R.
- Use statistical techniques and machine learning algorithms to perform exploratory data analysis to understand the nuances, patterns, and anomalies within the data.
- Support development, validation, and deployment of machine learning & statistical models to predict, classify, and optimize various business outcomes.
- Develop an understanding of delivering data science models in a production environment.
- Creating impactful visualizations to communicate findings effectively.
- Collaborating with stakeholders to understand business challenges and develop data-driven solutions to real-world problems.
- Translating technical concepts into actionable insights.
- Balancing learning with practical application.
- Understanding project and team scope as it relates to broader strategic initiatives.
- Effectively communicating findings to both technical and non-technical audiences.
Benefits
- Annual Incentive Program
- Medical/Pharmacy Plan
- Dental
- Vision
- Life Insurance
- Dependent Care Reimbursement Account
- Health Care Reimbursement Account
- Health Savings Account (HSA) (if enrolled in eligible health plan)
- Limited-Purpose FSA (if enrolled in eligible health plan and HSA)
- Transportation Reimbursement Account
- Short-term disability (STD)
- Long-term disability (LTD)
- Employee Assistance Program (EAP)
- Fitness Center Reimbursement (if enrolled in eligible health plan)
- Tuition reimbursement
- Transit programs
- Employee recognition program
- Pension
- 401(k) plan
- Paid time off (PTO)
- Holidays
- Volunteer Paid Time Off (VPTO)
- Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
