Senior Applied Scientist

Job Description

Functional

• Lead and participate in end-to-end data analytics and business intelligence projects, from data collection and preprocessing to modeling, analysis, and reporting, employing statistical methods, machine learning algorithms, and data mining techniques.
• Collaborate with cross-functional teams to understand client requirements, design solutions, and deliver actionable insights.
• Develop and maintain scalable data pipelines and analytics infrastructure for efficient data processing and analysis.
• Design and develop AI models for predictive analytics, anomaly detection, and pattern recognition.
• Collaborate with clients to identify business objectives and translate them into data analysis and reporting requirements.
• Create and maintain dashboards and reports to visualize and communicate data-driven insights.
• Ensure data quality and accuracy by implementing data cleansing, transformation, and validation processes.
• vContinuously evaluate and enhance data analytics processes, tools, and techniques to optimize efficiency and effectiveness.
• Present findings and recommendations to clients in a clear and understandable manner, tailoring communication to various stakeholders.

To Qualify, You Must Have

• A Ph.D. or Masters degree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline.
• Minimum of 7 years of experience in data analytics, business intelligence, or related roles, with a strong background in AI and machine learning applications.
• Proficiency in programming languages such as Python and R, as well as data analysis libraries (e.g., Pandas, NumPy, Scikit-Learn).
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI) and database management systems (e.g., SQL).
• Experience in working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.

Ideally, Youll Also Need

• Strong problem-solving skills and the ability to work with complex, large-scale datasets.
• Excellent communication skills to effectively convey technical findings and insights to non-technical stakeholders.
• Strong project management and leadership skills to guide interdisciplinary teams and drive project success.
• Exceptional teamwork and interpersonal skills to foster collaboration and maintain strong client relationships.

Job Details

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