[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. KNOWFINITY is hiring a Data Scientist for a prestigious Fortune 500 Product-Based client in the United States. This role involves working on large-scale data platforms and advanced machine learning solutions to derive actionable business insights from complex datasets.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and business opportunities
• Develop, validate, and deploy machine learning and predictive analytics models
• Design and implement statistical models to solve real-world business problems
• Collaborate with software engineers, data engineers, product managers, and business stakeholders to build data-driven solutions
• Build dashboards, reports, and visualizations to communicate insights effectively
• Perform feature engineering, model evaluation, and optimization for production-grade models
• Develop forecasting, recommendation, classification, and clustering models
• Support experimentation, A/B testing, and performance measurement initiatives

Skills

• 2+ years of experience in Data Science, Machine Learning, Analytics, or a related field
• Strong proficiency in Python and SQL
• Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost
• Strong understanding of statistics, probability, and predictive modeling techniques
• Experience working with structured and unstructured datasets
• Knowledge of data visualization tools such as Tableau, Power BI, or Looker
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Strong analytical, problem-solving, and communication skills
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field
• Experience working in a product-based company
• Exposure to Generative AI, NLP, and Large Language Models (LLMs)
• Experience with Spark, Databricks, and big data technologies
• Familiarity with MLOps tools and model deployment practices
• Experience with A/B testing and experimentation frameworks
• Knowledge of recommendation systems and customer analytics

Benefits

• Opportunity to work with a Fortune 500 Product-Based organization.
• Exposure to enterprise-scale data science and machine learning projects.
• Collaborative and innovation-driven work environment.
• Competitive compensation package.
• Long-term career growth and advancement opportunities.
• Access to modern technologies and data-driven decision-making initiatives.
• Visa sponsorship is available for eligible candidates.

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