We are looking for a highly skilled Middle/Senior Data Scientist to join our team.

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As a Data Scientist, you will be responsible for analyzing complex data sets, developing models and algorithms, and deriving actionable insights to drive business growth and decision-making. You will collaborate with cross-functional teams, including software engineers, analysts, and business stakeholders, to identify data-driven solutions and contribute to the development of innovative data products. The ideal candidate is a strong problem solver with a deep understanding of statistical modeling, machine learning techniques, and data manipulation.

Responsibilities:

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• Collect, clean, and preprocess large and complex datasets from various sources
• Conduct exploratory data analysis to identify patterns, trends, and relationships
• Perform statistical analysis to extract meaningful insights from the data
• Develop predictive models, machine learning algorithms, and statistical models to solve business problems
• Utilize tools and techniques such as regression, classification, clustering, time series analysis, and natural language processing
• Implement and deploy models into production environments
• Present findings and insights in a clear and concise manner to both technical and non-technical stakeholders
• Create visualizations and dashboards to effectively communicate complex data-driven insights
• Collaborate with cross-functional teams to develop data-driven strategies and solutions
• Collaborate with teams to identify business challenges and formulate data-driven hypotheses
• Work closely with software engineers to integrate data science solutions into existing systems or applications
• Continuously explore and evaluate new tools, techniques, and data sources to improve analysis and model performance
• Ensure compliance with data protection and privacy regulations
• Maintain data integrity and security throughout the data lifecycle
• Adhere to ethical practices in handling sensitive data and maintaining confidentiality

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Requirements:

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• Bachelor’s or Master's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline
• Strong proficiency in programming languages such as Python
• Experience with data manipulation and analysis using libraries like NumPy or pandas
• Proficiency in machine learning techniques and libraries such as scikit-learn, TensorFlow or PyTorch
• Solid understanding of statistical concepts and hypothesis testing
• Experience with data visualization tools such as Tableau or Power BI
• Familiarity with big data processing frameworks like Hadoop or Spark is a plus
• Strong problem-solving and analytical thinking skills
• Excellent communication and presentation skills
• Ability to work independently and collaboratively in a team-oriented environment
• Strong attention to detail and ability to deliver high-quality work within deadlines

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If you have the required skills and experience, please submit your application for consideration.

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