Data Scientist Jobs

We are seeking a highly skilled Data Scientist with a strong foundation in statistics, machine learning, and data analysis to extract actionable insights and build predictive models that support business and operational decision-making. The role focuses on transforming complex data into meaningful trends, patterns, and forecasts while collaborating closely with business stakeholders, analysts, and data engineers.

• Analyze large and complex datasets to extract insights, trends, and predictive patterns.
• Build, evaluate, and interpret machine learning models for real-world business and scientific use cases.
• Perform data wrangling, cleaning, and pre-processing using tools such as Pandas, SQL, and Spark.
• Design and implement feature engineering and data preparation pipelines.
• Apply supervised and unsupervised learning techniques, including:
  • Regression
  • Classification
  • Anomaly detection
  • Time series forecasting
• Apply statistical analysis, hypothesis testing, and experimental design techniques, including A/B testing.
• Work with time series data to develop forecasting and trend analysis models.
• Collaborate closely with business stakeholders to translate business problems into data science solutions.
• Partner with data engineers to support data pipelines, model deployment, and data availability.
• Develop clear visualizations and dashboards to communicate findings using tools such as Power BI, Tableau, and Python visualization libraries.
• Document methodologies, assumptions, and outcomes to ensure transparency and reproducibility.

• Strong foundation in statistics, probability, and hypothesis testing.
• Solid understanding of machine learning algorithms and modeling techniques.
• Proficiency in Python and/or R, including Jupyter Notebooks.
• Experience with data pre-processing, feature engineering, and model tuning.
• Strong knowledge of SQL and relational data structures.
• Hands-on experience with ML libraries such as:
  • TensorFlow
  • PyTorch
• Strong analytical and problem-solving mindset.
• Ability to interpret models and explain results to non-technical stakeholders.
• Strong business and domain understanding to ensure insights are actionable and relevant.

• Experience with Big Data technologies such as Hadoop and Apache Spark.
• Knowledge of experimental design, A/B testing, and causal inference.
• Experience in data visualization using:
  • Power BI
  • Tableau
  • Matplotlib / Seaborn
• Familiarity with data pipelines and production environments.
• Experience working in enterprise-scale or Oil & Gas environments is a strong plus.
• Ability to work cross-functionally with:
  • Business stakeholders
  • Analysts
• Strong communication and documentation skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Continuous learner with a strong interest in emerging data science techniques.
• Open for Junior and Senior levels (based on experience and assessment).