Description

Act as a technical advisor and practitioner, bridging the gap between complex data analysis and client business objectives. You will manage multiple client projects from inception to delivery, collaborating with data engineers and analysts.

Responsibilities

• Engage with clients to define business objectives, data needs, and strategic decision-making frameworks.
• Collect, clean, and perform exploratory data analysis on structured and unstructured datasets.
• Develop and deploy machine learning models and statistical algorithms.
• Build actionable dashboards and visualizations to communicate insights to technical and non-technical stakeholders.

Required Skills

• 5+ years of experience in data science, analytics, or a related field.
• Proficiency in Python and R for model development and statistical analysis.
• Strong SQL skills for data manipulation and extraction.
• Experience building visualizations in Tableau or Power BI.
• Solid understanding of machine learning algorithms and techniques.
• Proven ability to explain complex technical concepts to non-technical audiences.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering.
• Experience in client-facing or consulting roles.

Preferred Skills

• Data Science or Machine Learning certifications.
• Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.

Key Skills

Education

Bachelor’s or Master’s degree