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 ResponsibilitiesData 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.RequisitiEducation: 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 QualificationsExperience 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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