5 дней назад
Associate Data Scientist
62 700 - 83 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Data Scientist (SQL/Python): Transforming business data into operational and strategic insights through data preparation, analysis, dashboards, and predictive modeling with an accent on data quality, statistical analysis, and stakeholder communication. Focus on building reliable datasets, developing Power BI visualizations, supporting model validation, and translating business requirements into analytical solutions.
Location: Remote within the United States; associated office location in Northbrook, Illinois
Salary: $62,700–$83,000 USD annually, plus target annual bonus compensation of 5% of base salary
Company
provides applied safety science, testing, inspection, certification, software, and advisory services to customers in more than 110 countries.
What you will do
- Collect, clean, validate, and maintain reliable datasets for reporting and analysis.
- Perform recurring and ad-hoc analyses to identify trends, patterns, and business insights.
- Prepare datasets and support exploratory data analysis for business and operational initiatives.
- Develop and maintain dashboards, reports, and visualizations using Power BI, Excel, and similar tools.
- Support the development, testing, validation, and monitoring of predictive and statistical models.
- Collaborate with business stakeholders, data engineering, and development teams to translate requirements into analytical solutions.
Requirements
- Bachelor’s degree in data science, statistics, mathematics, computer science, information systems, engineering, or a related field.
- 0–2 years of experience in data analytics, business analytics, or data science, including internships or academic projects.
- Working knowledge of SQL and Python.
- Experience with Power BI, Excel, or similar data visualization tools, plus basic statistical concepts.
- Ability to gather and document business requirements and communicate findings to technical and non-technical audiences.
- Familiarity with Agile methodologies and tools such as Azure DevOps or Jira, with strong attention to data quality.
Nice to have
- Experience with cloud-based data platforms such as Azure or Snowflake.
- Familiarity with software development lifecycle concepts and version control tools.
- Exposure to AI-assisted analytics, generative AI, or emerging data science technologies.
- Experience with enterprise data environments and data governance practices.
Culture & Benefits
- Collaborative, data-driven environment with cross-functional technical and business teams.
- Training and development opportunities focused on learning and innovation.
- Medical, dental, vision, mental health, and financial wellness benefits.
- Retirement savings plan with 401(k) benefits.
- Paid time off including 15 vacation days, 12 holiday and personal days, and 72 hours of sick time.
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