Ocorian is looking for a Data Scientist to leverage data for strategic decision-making and enhanced business performance. You will join a client-centric and collaborative environment where you will develop predictive models, extract insights from complex datasets, and translate findings into actionable recommendations.
What You'll Do
- Analyze large, complex datasets to identify trends, patterns, and opportunities.
- Design, build, and validate predictive and prescriptive models.
- Apply statistical analysis and machine learning techniques to solve business problems.
- Optimize model performance and ensure scalability in production environments.
- Clean, preprocess, and transform structured and unstructured data.
- Conduct exploratory data analysis (EDA) to identify key drivers and relationships.
- Present findings clearly to stakeholders using visualizations and reports.
- Collaborate with data engineers to ensure high-quality data pipelines.
- Work closely with cross-functional teams (e.g., IT, Finance, Operations, Marketing).
- Translate business requirements into analytical solutions.
- Support decision-making through scenario modelling and forecasting.
- Ensure models are explainable, transparent, and aligned with ethical AI principles.
- Support compliance with regulatory and data privacy requirements.
- Maintain documentation of methodologies and assumptions.
What We're Looking For
- Strong proficiency in Python and/or R.
- Advanced SQL skills.
- Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch.
- Strong knowledge of statistics, probability, and hypothesis testing.
- Experience with data visualization tools like Power BI, Tableau, matplotlib, or seaborn.
- Experience with regression, classification, clustering, and time series analysis.
- Proficiency in model evaluation and validation techniques.
- Experience with A/B testing and experimentation frameworks.
- Excellent problem-solving and critical thinking skills.
- Strong communication, storytelling, and ability to simplify complex analytical concepts.
- Commercial awareness and business acumen.
Nice to Have
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Experience with R (optional but desirable).
- Experience with MLflow (desirable).
Technical Stack
- Languages & Libraries: Python, Pandas, NumPy, scikit-learn, R
- Tools & Platforms: SQL, Jupyter Notebooks, Git, Power BI, Tableau, MLflow
Team & Environment
You will work within cross-functional teams, collaborating closely with colleagues from IT, Finance, Operations, and Marketing to deliver data-driven solutions.
Work Mode
This role offers a hybrid work arrangement.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
