

About the Role
We are looking for a highly skilled and experienced Senior Data Scientist to join our dynamic team.
Responsibilities:
• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.
• Utilize common BI toolkits to analyze and visualize data, providing actionable insights to stakeholders.
• Design and conduct online experiments to test hypotheses and improve decision-making processes.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Perform data extraction, transformation, and loading (ETL) processes using advanced SQL techniques.
• Work with relational and non-relational databases, ensuring data integrity and optimizing query performance.
• Apply extensive statistical knowledge to perform rigorous data analysis, including statistical tests, distributions, regression, and maximum likelihood estimators.
• Leverage Python and its libraries (Pandas, NumPy, SciPy, StatsModels, Scikit Learn, Seaborn, Matplotlib) for data manipulation, analysis, and visualization.
• Explore and implement image processing and natural language processing (NLP) techniques as needed.
• Stay updated with the latest advancements in deep learning and apply relevant techniques to enhance model performance.
Qualifications:
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• 4+ years of experience in data science, with a strong focus on classical machine learning and statistical modeling.
• Proficiency in Python and its libraries: Pandas, NumPy, SciPy, StatsModels, Scikit Learn, Seaborn, and Matplotlib.
• Advanced SQL knowledge and experience working with both relational and non-relational databases.
• Extensive knowledge of statistics, including statistical tests, distributions, regression, and maximum likelihood estimators.
• Experience in online experimentation and statistical analysis.
• Knowledge and experience in image processing and NLP is a plus.
• Strong understanding of deep learning and experience with deep learning libraries is a plus.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
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