Remote Mid-Level Data Scientist-Unlock your potential

Do you have a strong passion for data science and a desire to make a significant impact? If so, we have an exciting opportunity for you! We are seeking a Mid-Level Data Scientist to drive innovation by developing sophisticated machine learning models, all while enjoying the flexibility of remote work.

Why Work With ETAS?

Competitive Salary & Benefits

  • Earn an attractive salary between $90,000 and $100,000 per year.
  • Receive comprehensive health and dental benefits.
  • Take advantage of a 401(k) retirement plan and paid leave for work-life balance.
  • Work From Anywhere
  • Enjoy the convenience of remote work and create a schedule that suits your productivity and lifestyle.

What This Role Offers

As a Data Scientist, you will be an essential contributor, developing data-driven solutions to optimize operations and enhance business performance. From predictive modeling to data automation, your expertise will drive meaningful insights and solutions.

We are searching for a problem-solver who thrives in dynamic environments, adapts quickly, and delivers high-quality results. Proficiency in Python, AWS, Google Sheets, and data pipeline management is highly desirable.

Key Responsibilities

  • Design and deploy machine learning algorithms to tackle real-world problems.
  • Work alongside stakeholders to convert business needs into actionable data solutions.
  • Manage multiple projects while ensuring accuracy and efficiency.
  • Translate complex technical concepts into clear insights for non-technical audiences.
  • Maintain and improve data pipeline systems in collaboration with engineers

Required Skills and Expertise

1. Data Processing & Transformation

  • Experience in preparing and cleaning datasets for insightful analysis.
  • Strong background in data wrangling, ETL processes, and database management.

2. Machine Learning & AI Development

  • Ability to build, fine-tune, and implement machine learning models.
  • Familiarity with tools such as TensorFlow, Scikit-learn, and PyTorch.

3. Statistical Analysis & Predictive Insights

  • Proficient in hypothesis testing, A/B testing, and data-driven decision-making.
  • Strong understanding of statistical methodologies and predictive analytics.

4. Project Coordination & Effective Communication

  • Ability to multitask and coordinate projects efficiently.
  • Clear communication of technical insights to cross-functional teams.

Take the Next Step in Your Data Science Career

If you’re a passionate data scientist eager to work on impactful projects from anywhere, this role is for you! Apply today and propel your data science journey to new heights.

Click Here to Apply!

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