We're seeking a mid-level to senior data scientist to transform data into actionable insights in a fully remote environment. The ideal candidate will have experience in data science, analytics, or a related field and proficiency in Python or R. They will work with cross-functional teams to build models, analyze trends, and drive strategic decisions.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
📊 We’re Hiring: Remote Data Scientist
📍 Location: Remote
đź•’ Employment Type: Full-Time
đź’Ľ Level: Mid-Level / Senior
We are seeking a highly analytical and detail-oriented Remote Data Scientist to help transform data into actionable insights. You’ll work with cross-functional teams to build models, analyze trends, and drive strategic decisions in a fully remote environment.
🎯 Key Responsibilities- Collect, clean, and analyze structured and unstructured data
- Develop, train, and validate machine learning and statistical models
- Conduct experiments and perform hypothesis testing
- Build dashboards, visualizations, and data tools for stakeholders
- Translate complex data findings into actionable business insights
- Collaborate with engineering, product, and business teams on data needs
- Maintain data accuracy, reliability, and proper documentation
- Stay current on industry trends, analytics tools, and emerging technologies
- 2–5+ years of experience in data science, analytics, or related field
- Proficiency in Python or R, including data libraries (Pandas, NumPy, Scikit-learn, etc.)
- Strong SQL skills and experience with large datasets
- Knowledge of machine learning algorithms and statistical modeling
- Familiarity with data visualization tools (Tableau, Power BI, or similar)
- Strong analytical, problem-solving, and communication skills
- Degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- Experience with deep learning frameworks (TensorFlow, PyTorch)
- Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)
- Experience with NLP, time-series forecasting, or recommendation systems
- Familiarity with big data tools (Spark, Hadoop)
- Prior experience preparing executive-level reports
- 100% remote work with flexible hours
- Opportunity to influence data-driven decisions across the company
- Collaborative and supportive virtual team environment
- Professional development and mentorship opportunities
- Competitive salary and benefits
- Access to modern analytics and cloud tools