Data Scientist (Software Engineer I/II) (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist (Software Engineer I/II) in the United States.

We are seeking a motivated and technically skilled Data Scientist to join a fully remote team, applying data-driven insights to solve complex business challenges. In this role, you will work with large and diverse datasets, leveraging statistical analysis, machine learning, and AI techniques to develop predictive models and actionable solutions. You will collaborate with cross-functional teams to understand business objectives, build robust data pipelines, and deliver insights that influence decision-making across the organization. This position offers an opportunity to contribute to innovative projects, work with cutting-edge tools, and drive measurable impact in a fast-paced, supportive, and inclusive environment.

Accountabilities

• Collaborate with stakeholders and cross-functional teams to identify business problems and define data-driven solutions.
• Analyze large, complex datasets to identify patterns, trends, and actionable insights.
• Develop, implement, and optimize machine learning and AI models to improve business processes and outcomes.
• Build and maintain data pipelines to ensure data integrity, consistency, and accessibility for analytics and modeling.
• Create clear and compelling visualizations and reports to communicate findings to technical and non-technical audiences.
• Stay current with emerging trends and technologies in data science, AI, and machine learning.
• Apply best practices for data collection, cleaning, and preprocessing to support accurate and reliable analyses.
• Contribute to moderate-to-complex projects involving predictive analytics, optimization, generative AI, or other advanced modeling initiatives.

• Bachelor’s degree in Operations Research, Computer Science, Industrial Engineering, or a related field, or equivalent professional experience.
• 2+ years of experience in building data science solutions or relevant professional experience without a degree.
• Proficiency in programming languages such as Python, R, SQL, with familiarity in Java or Scala.
• Experience with statistical analysis, machine learning techniques, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of data visualization tools to effectively communicate insights.
• Familiarity with cloud-based data science platforms and environments.
• Preferred: Experience in logistics, rail, shipping, airline, warehousing, or supply chain industries.
• Preferred: Experience with geospatial data, open-source libraries, and Agile methodologies (Scrum, Kanban, SAFe).

• Competitive salary range: $93,750 – $175,000, depending on level and experience.
• Fully remote work within the contiguous 48 United States.
• Industry-leading 401(k) and retirement program.
• Comprehensive health benefits including medical, dental, vision, telemedicine, mental health, and cancer support.
• Health savings accounts (HSA) with employer contributions, plus life and disability coverage.
• Family benefits including parental leave, adoption and surrogacy support, and dependent care accounts.
• Annual bonus through incentive compensation programs.
• Discounts on travel, wellness, and lifestyle services.
• Generous paid time off policies.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the hiring company, who will manage the final selection steps, including interviews and additional assessments.

Thank you for your interest!

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