DATA SCIENTIST

Job Title: Remote Data Scientist

Location: Remote (U.S. Only)
Job Type: Full-time

Job Summary:

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for developing predictive models, analyzing large datasets, and providing data-driven insights to support business decisions. The ideal candidate has experience in machine learning, statistical modeling, and data visualization. This is a fully remote position, but applicants must be based in the U.S.

Key Responsibilities:

• Develop and implement machine learning models and predictive analytics solutions.
• Analyze large and complex datasets to extract meaningful insights.
• Design, build, and optimize data pipelines and ETL processes.
• Communicate findings through data visualizations, reports, and presentations.
• Work with cross-functional teams to identify and solve business challenges using data science.
• Ensure data quality, integrity, and security while working with sensitive information.

Required Qualifications:

• 1+ year of experience as a Data Scientist or in a similar role.
• Strong programming skills in Python or R, with experience in pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch.
• Proficiency in SQL and working with large databases.
• Experience with statistical modeling, hypothesis testing, and A/B testing.
• Knowledge of cloud platforms (AWS, GCP, or Azure) for data storage and processing.
• Excellent problem-solving skills and the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with big data technologies (Spark, Hadoop, Databricks).
• Familiarity with natural language processing (NLP) or deep learning techniques.
• Strong background in data engineering and automating data workflows.

Benefits:

• Competitive salary with performance-based bonuses.
• Fully remote with flexible work hours.
• Health, dental, and vision insurance.
• 401(k) with company matching.
• Paid time off, sick leave, and professional development opportunities.