Data Scientist

Job summary

Collect, preprocess, and analyze structured and unstructured data to identify patterns and business insights. Develop, evaluate, deploy, and monitor machine learning models, and communicate findings through visualizations and reports while collaborating with cross-functional teams.

Job details

Key Responsibilities Collect, clean, preprocess, and analyze structured and unstructured data. Perform exploratory data analysis (EDA) to identify patterns, trends, and business insights. Develop, train, test, and deploy machine learning models. Apply statistical techniques and predictive modeling to solve business problems. Build classification, regression, clustering, and forecasting models. Develop data visualizations, dashboards, and reports to communicate findings. Work with cross-functional teams, including business analysts, data engineers, and software engineers. Optimize model performance and monitor deployed models. Perform feature engineering, model validation, and hyperparameter tuning. Document methodologies, experiments, and analytical results. Ensure data quality, privacy, and compliance with relevant standards. Required Skills and Qualifications Strong programming skills in Python or R. Proficiency in SQL and database querying. Knowledge of statistics, probability, linear algebra, and hypothesis testing. Hands-on experience with machine learning algorithms. Experience with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn. Understanding of data preprocessing, feature engineering, and model evaluation. Experience with data visualization tools such as Power BI, Tableau, or similar platforms. Familiarity with Git and version control. Preferred Skills Experience with TensorFlow, PyTorch, or other deep learning frameworks. Knowledge of NLP, computer vision, or generative AI. Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Experience with model deployment, APIs, Docker, and ML pipelines. Knowledge of MLOps tools and practices.

What you’ll do

Collect, preprocess, and analyze structured and unstructured data to identify patterns and business insights. Develop, evaluate, deploy, and monitor machine learning models, and communicate findings through visualizations and reports while collaborating with cross-functional teams.

Requirements

Requires strong programming skills in Python or R, SQL proficiency, knowledge of statistics and probability, and hands-on experience with machine learning algorithms and common data science libraries. Candidates should also understand data preprocessing, feature engineering, model evaluation, data visualization, and version control.

Listed skills

• Python · Preferred
• SQL · Preferred
• Machine learning · Preferred
• Data visualization · Preferred
• Power BI · Preferred
• Tableau · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• R
• SQL
• Statistics
• Machine Learning
• Data Preprocessing
• Feature Engineering
• Model Evaluation
• Data Visualization
• Pandas
• NumPy
• Scikit-Learn
• Matplotlib
• Seaborn
• Power BI
• Tableau

Job areas

• Data & Analytics
• Technology
• Software
• Science & Research

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