Sulekha.com New Media Pvt Ltd
Data Scientist - Richmond, VA
We are seeking a Data Scientist to analyze complex datasets, build predictive models, and develop data-driven insights that support business decisions. The role involves applying statistical techniques, machine learning, and programming skills to solve real-world problems. Responsibilities
Collect, clean, and preprocess large datasets for analysis. Apply statistical methods and machine learning algorithms to derive insights and predictions. Build, train, and optimize predictive and classification models. Work closely with cross-functional teams to translate business problems into analytical solutions. Communicate findings clearly through visualizations, reports, and presentations. Stay current with advancements in AI, ML, and data science technologies. Required Skills
Strong proficiency in Python or R for data analysis and machine learning. Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch). Strong knowledge of statistics, probability, and data modeling. Hands-on experience with SQL and relational databases. Ability to work with large datasets and tools such as Pandas, NumPy, Spark, or Hadoop. Data visualization skills (Matplotlib, Seaborn, Tableau, Power BI). Preferred Skills (Good to Have)
Experience with cloud platforms (AWS, Azure, GCP). Knowledge of deep learning techniques (CNNs, RNNs, transformers). Familiarity with NLP, computer vision, or recommendation systems. Experience deploying ML models into production (MLOps, Docker, Kubernetes). Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. Prior experience in data science or applied machine learning.
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We are seeking a Data Scientist to analyze complex datasets, build predictive models, and develop data-driven insights that support business decisions. The role involves applying statistical techniques, machine learning, and programming skills to solve real-world problems. Responsibilities
Collect, clean, and preprocess large datasets for analysis. Apply statistical methods and machine learning algorithms to derive insights and predictions. Build, train, and optimize predictive and classification models. Work closely with cross-functional teams to translate business problems into analytical solutions. Communicate findings clearly through visualizations, reports, and presentations. Stay current with advancements in AI, ML, and data science technologies. Required Skills
Strong proficiency in Python or R for data analysis and machine learning. Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch). Strong knowledge of statistics, probability, and data modeling. Hands-on experience with SQL and relational databases. Ability to work with large datasets and tools such as Pandas, NumPy, Spark, or Hadoop. Data visualization skills (Matplotlib, Seaborn, Tableau, Power BI). Preferred Skills (Good to Have)
Experience with cloud platforms (AWS, Azure, GCP). Knowledge of deep learning techniques (CNNs, RNNs, transformers). Familiarity with NLP, computer vision, or recommendation systems. Experience deploying ML models into production (MLOps, Docker, Kubernetes). Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. Prior experience in data science or applied machine learning.
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