Data Scientist

Job Overview:

We are seeking a highly skilled Data Scientist to join our team and drive data-driven decision-making. The ideal candidate will have expertise in machine learning, statistical modeling, and big data analytics to extract valuable insights from large datasets. You will work closely with cross-functional teams, including data engineers, software developers, and business analysts, to develop predictive models and AI-powered solutions.

Key Responsibilities:

✔ Data Analysis & Modeling:

• Collect, clean, and preprocess structured and unstructured data from various sources.

• Perform exploratory data analysis (EDA) to uncover trends and patterns.

• Develop predictive and prescriptive models using machine learning (ML) and statistical techniques.

✔ Machine Learning & AI Development:

• Build, train, and optimize ML models using frameworks like TensorFlow, PyTorch, Scikit-learn.

• Develop deep learning, NLP, or computer vision solutions (if applicable).

• Implement model validation, A/B testing, and hyperparameter tuning.

✔ Big Data & Cloud Integration:

• Work with big data tools such as Apache Spark, Hadoop, and Databricks.

• Deploy models on AWS, GCP, or Azure AI platforms (e.g., SageMaker, Vertex AI).

✔ Business Intelligence & Visualization:

• Develop dashboards and reports using Tableau, Power BI, or Looker.

• Present findings and insights to stakeholders, executives, and product teams.

✔ Collaboration & Deployment:

• Work closely with data engineers to optimize data pipelines.

• Deploy ML models into production with MLOps best practices (Docker, Kubernetes, CI/CD).

Required Qualifications & Skills:

✅ Technical Skills:

• Strong programming skills in Python, R, or SQL.

• Experience with machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).

• Knowledge of big data technologies (Spark, Hadoop, Kafka).

• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps pipelines.

• Strong experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).

• Experience with databases (SQL, NoSQL, Snowflake, Redshift).

✅ Soft Skills:

• Strong analytical thinking and problem-solving abilities.

• Ability to translate complex data into actionable insights for business stakeholders.

• Excellent communication skills to present findings to technical and non-technical audiences.

• Experience working in Agile/Scrum environments.

Preferred Qualifications (Nice to Have):

✔ PhD or Master’s degree in Data Science, Computer Science, Mathematics, or Statistics.

✔ Experience in Natural Language Processing (NLP) or Computer Vision.

✔ Familiarity with AI Ethics, Responsible AI, and Explainable AI.

Benefits & Perks:

🎯 Competitive financial compensation

🌍 Remote work flexibility

📚 Training & career development in AI/ML

🚀 Work with cutting-edge technologies in AI & big data

How to Apply:

• If you’re passionate about data science and AI-driven innovation, we’d love to hear from you! Apply now by submitting your CV outlining your experience and interest in this role.