Data Scientist Remote

Superdevs; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Fully remote position

Competitive salary

Career path

Work-life balance

Flat structure

Flexible hours

Job summary

Superdevs is seeking a data-driven professional to join a fast-moving team in building AI-powered solutions. You will own projects end-to-end, from data exploration to production deployment, with a focus on ML models and analytics using sensor and operational data.

The role requires 4+ years in Data Science or ML Engineering, strong Python/SQL skills, and experience with Azure or Databricks/Spark/Dask. Fluency in English and ability to work independently are essential.

Qualifications

• 4+ years of experience in Data Science, Machine Learning, or Data/ML Engineering.
• Strong proficiency in Python and SQL.
• Hands-on experience developing and deploying machine learning models.
• Experience with cloud platforms (e.g., Azure), Databricks, Spark, or Dask.
• Ability to independently manage data-driven projects from concept to production.
• Degree in Data Science, Mathematics, Statistics, Physics, or a related field.
• Strong analytical thinking, problem-solving skills, and a collaborative mindset.
• Fluent English.

Responsibilities

• Own data-driven projects end-to-end, from problem definition and data exploration to model development, validation, and production deployment.
• Design, develop, and validate machine learning, AI, and advanced analytics solutions using sensor, environmental, and operational data.
• Identify new opportunities for data-driven solutions and contribute to the evolution of existing digital products.
• Translate business needs into practical data science and machine learning approaches.
• Ensure high standards of code quality, testing, deployment, and technical documentation.
• Collaborate with cross-functional teams to turn complex data into actionable insights and scalable solutions.

Skills

Python

SQL

ML deployment

Cloud platforms (Azure)

Databricks / Spark / Dask

Project management

English fluency

Education

Data Science / Math / Statistics / Physics degree

Tools

Azure

Databricks

Spark

Dask

Job description

Does building awesome, innovative products that add up to something meaningful sound like a dream come true?

Come join us and make that vision a reality!

About

You'll work on developing data-driven solutions for a global leader in ropeway technology, using machine learning, AI, and real-world sensor data to build innovative digital products and improve mobility systems worldwide.

Responsibilities

• Own data-driven projects end-to-end, from problem definition and data exploration to model development, validation, and production deployment.
• Design, develop, and validate machine learning, AI, and advanced analytics solutions using sensor, environmental, and operational data.
• Identify new opportunities for data-driven solutions and contribute to the evolution of existing digital products.
• Translate business needs into practical data science and machine learning approaches.
• Ensure high standards of code quality, testing, deployment, and technical documentation.
• Collaborate with cross-functional teams to turn complex data into actionable insights and scalable solutions.

Our offer

• Competitive salary on B2B contract
• Fully remote position
• Real impact and independence at work
• Individual career path
• Work-life balance
• A non-corporate atmosphere where innovation, personal growth, and teamwork thrive
• 100+ smart, curious & ambitious engineers

What you bring

• 4+ years of experience in Data Science, Machine Learning, or Data/ML Engineering.
• Strong proficiency in Python and SQL.
• Hands-on experience developing and deploying machine learning models.
• Experience with cloud platforms (e.g., Azure), Databricks, Spark, or Dask.
• Ability to independently manage data-driven projects from concept to production.
• Degree in Data Science, Mathematics, Statistics, Physics, or a related field.
• Strong analytical thinking, problem-solving skills, and a collaborative mindset.
• Fluent English

Nice to have

• Experience with MLOps, CI/CD, and production ML workflows.
• Background in meteorology, geosciences, or related natural sciences.
• Experience working with IoT, sensor data, time-series analysis, or industrial data.
• Experience building data products in interdisciplinary teams.

Benefits

• International Projects
• Small Teams
• Flat Structure
• Friendly Atmosphere
• Flexible Hours
• Individual Career Path

Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!