As a Data Scientist, you will play a key role in analyzing complex datasets to identify trends, develop predictive models, and provide actionable insights. Working closely with cross-functional teams, you will help shape our data strategy, apply advanced machine learning techniques, and drive business outcomes through data.
Key Responsibilities
* Data Analysis & Modeling: Extract, pre-process, and analyze large datasets to identify trends, patterns, and insights. Build and validate statistical, machine learning, and predictive models to support business objectives.
* Machine Learning & AI Development: Design and implement machine learning algorithms to solve complex business problems. Continuously improve models for scalability and performance.
* Business Insights & Reporting: Translate data findings into actionable recommendations. Present insights to stakeholders using clear visualizations and data storytelling techniques.
* Data Strategy & Governance: Contribute to data quality and governance efforts. Ensure adherence to data privacy and security standards.
* Collaboration & Cross-Functional Support: Work closely with data engineers, analysts, and product teams to integrate data insights into products and services, and support ongoing improvement of data systems and processes.
Requisiti
* Education: Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; Master’s or Ph.D. preferred.
* Technical Proficiency: Strong expertise in Python or R, SQL, and experience with machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
* Experience with Data Visualization Tools: Proficiency in tools such as Tableau, Power BI, or similar to convey insights effectively.
* Machine Learning & Statistical Skills: In-depth knowledge of statistical modeling, machine learning algorithms, predictive analytics, and A/B testing.
* Data Engineering Knowledge: Familiarity with data pipelines, ETL processes, and tools (e.g., Spark, Hadoop) is a plus.
* Problem-Solving & Analytical Mindset: Ability to frame complex business challenges in analytical terms and find data-driven solutions.
* Communication Skills: Excellent written and verbal communication skills, with the ability to simplify complex technical information for non-technical audiences.
Preferred Qualifications
* Experience with cloud platforms (AWS, GCP, or Azure) for data processing and model deployment.
* Knowledge of big data technologies and frameworks.
* Familiarity with natural language processing, computer vision, or other advanced AI applications.
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