Senior Data Scientist

About This Role

WorkGarden is seeking an experienced Senior Data Scientist to leverage advanced machine learning, statistical techniques, and cutting-edge tools. This role involves delivering actionable insights that empower business growth and drive strategic decisions through data.

Responsibilities

• Utilize advanced statistical methods and machine learning techniques to analyze large, complex datasets, uncovering insights and trends.
• Build predictive models to forecast business outcomes, optimize processes, and drive decision-making across various departments.
• Design and implement feature engineering techniques to improve the accuracy and performance of machine learning models.
• Work closely with cross-functional teams to identify key business problems and translate them into data science solutions.
• Clean, preprocess, and organize raw data from different sources to ensure it is suitable for analysis and modeling.
• Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems.
• Evaluate the performance of models using various metrics and optimize them for real-world performance.
• Create clear, insightful visualizations and reports to communicate findings to non-technical stakeholders.
• Automate repetitive data processing and reporting tasks to increase efficiency and reduce manual effort.
• Stay up-to-date with the latest developments in data science, machine learning, and AI, and bring new ideas and techniques to the team.

Requirements

• Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist in machine learning, data analysis, and statistical modeling.
• Strong programming skills in Python (preferred), R, or similar languages.
• Experience with libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Expertise in building and deploying machine learning models for classification, regression, time-series forecasting, and NLP tasks.
• Experience with data wrangling, feature engineering, and working with large, unstructured datasets.
• Strong proficiency in SQL for querying databases and working with structured data.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying models and managing data pipelines.
• Proficiency in data visualization tools such as Power BI, Tableau, or programming libraries like Matplotlib, Seaborn, or Plotly.
• Strong analytical and problem-solving skills.
• Excellent communication skills.

Qualifications

• Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong background in machine learning, data analysis, and statistical modeling.

Nice to Have

• Familiarity with big data tools such as Apache Spark, Hadoop, or Databricks.
• Experience with deep learning techniques and frameworks (e.g., TensorFlow, Keras, PyTorch).
• Experience with Natural Language Processing (NLP) techniques such as sentiment analysis, text classification, or language models.
• Strong foundation in statistical analysis and hypothesis testing.
• Experience with building and optimizing data pipelines for data collection, processing, and storage.
• Familiarity with version control systems like Git.
• Strong business acumen.

Skills

* Required skills

Benefits