Data Scientist

We are seeking a skilled Data Scientist with 2–5 years of experience in statistical analysis, machine learning, predictive modeling, and data-driven problem-solving. The ideal candidate should have strong expertise in Python, Statistics, Machine Learning, and data visualization. You will work with cross-functional teams to analyze complex datasets, develop predictive models, and deliver actionable business insights.

Work Locations: New York City, NY | San Francisco, CA | Boston, MA
Employment Type: Full-Time
Work Arrangement: 100% Remote – Candidates must be eligible to work in the United States.

Key Responsibilities

• Collect, clean, process, and analyze large datasets.
• Develop and implement machine learning models and algorithms.
• Perform statistical analysis and hypothesis testing.
• Build predictive models to identify trends and business opportunities.
• Apply supervised and unsupervised learning techniques.
• Perform feature engineering, model training, and evaluation.
• Develop data visualizations and analytical reports.
• Work with structured and unstructured datasets.
• Collaborate with Data Engineers, Business Analysts, and Engineering teams.
• Optimize machine learning models for accuracy and performance.
• Present analytical findings and actionable recommendations to stakeholders.

Required Skills

• 2–5 years of experience in Data Science or a related field.
• Strong programming skills in Python.
• Solid understanding of Statistics and Probability.
• Hands-on experience with Machine Learning algorithms.
• Knowledge of NumPy, Pandas, and Scikit-learn.
• Experience with data cleaning and preprocessing.
• Understanding of regression, classification, clustering, and predictive modeling.
• Experience with SQL and database querying.
• Knowledge of data visualization techniques.
• Strong analytical, communication, and problem-solving skills.

Preferred Qualifications

• Experience with TensorFlow or PyTorch.
• Knowledge of Deep Learning and Neural Networks.
• Familiarity with NLP and Generative AI concepts.
• Experience with Tableau, Power BI, or Matplotlib.
• Knowledge of AWS, Azure, or Google Cloud Platform.
• Familiarity with Jupyter Notebook and Git.
• Understanding of A/B testing and experimental design.

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field, or equivalent practical experience.

Compensation & Benefits

• Annual Salary: $100,000 – $175,000.
• Competitive salary based on experience and technical expertise.
• Health, dental, and vision insurance.
• Paid vacation and holidays.
• 100% remote work flexibility.
• Professional development and career growth opportunities.
• Opportunity to work on challenging data science and machine learning projects.

Application Process

Interested candidates are encouraged to apply with their updated resumes, highlighting their Python, Statistics, Machine Learning, SQL, predictive modeling, and data analytics experience.