Data Scientist

Senior Data Scientist

Employment Type:

Permanent

Location:

[Specify location or remote flexibility]

Role Overview:

We are seeking a highly skilled Senior Data Scientist with expertise in multi-cloud environments and a strong background in consulting. The ideal candidate will lead advanced analytics projects, design scalable data solutions, and provide strategic insights to clients across diverse industries. This role requires a blend of technical proficiency, business acumen, and excellent communication skills.

Key Responsibilities:

• Design and implement data science models (predictive, prescriptive, and descriptive analytics) to solve complex business problems.
• Work across multi-cloud platforms (AWS, Azure, GCP) to build and deploy scalable machine learning solutions.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Lead data strategy and advisory engagements, providing consulting expertise to clients.
• Develop and optimize ETL pipelines, data lakes, and data warehouses in cloud environments.
• Mentor junior team members and contribute to best practices in data science and cloud architecture.
• Stay updated on emerging technologies in AI/ML, cloud computing, and big data.

Required Skills & Experience:

• 5+ years of experience in data science roles, with proven success in delivering end-to-end projects.
• Strong proficiency in Python, R, and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc.
• Solid understanding of data engineering principles, SQL, and distributed computing frameworks (Spark, Hadoop).
• Experience in consulting or client-facing roles, with ability to manage stakeholders and deliver strategic insights.
• Strong knowledge of machine learning algorithms, statistical modeling, and data visualization tools (Power BI, Tableau).
• Excellent communication and presentation skills.

Preferred Qualifications:

• Master's or Ph.D. in Data Science, Computer Science, Statistics, or related field.
• Certifications in AWS/Azure/GCP or Data Science/ML.
• Experience with MLOps and CI/CD pipelines for ML models.
• Familiarity with data governance and compliance frameworks.