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About the job
As a Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models,
and providing valuable insights to drive data-informed decision-making across the organization. Your
work will contribute to the development of innovative solutions, optimization of business processes, and
identification of new growth opportunities.
• Utilize advanced statistical analysis and machine learning techniques to extract meaningful
insights from large and complex data sets.
• Collaborate with cross-functional teams to define project objectives, gather requirements, and
translate them into analytical tasks.
• Design and execute experiments to test hypotheses and validate models, leveraging statistical
techniques and data visualization methods.
• Identify and collect relevant data from various sources, ensuring data quality and integrity.
• Conduct exploratory data analysis to uncover patterns, trends, and correlations, and
communicate findings effectively to both technical and non-technical stakeholders.
• Build and maintain scalable and efficient data pipelines for data collection, preprocessing, and
• Stay up-to-date with the latest advancements in data science, machine learning, and statistical
modeling techniques, and apply them to solve business challenges.
• Collaborate with software engineers and IT teams to deploy and integrate models into
• Provide mentorship and guidance to junior team members, fostering a culture of continuous
learning and development.
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Processing, cleansing, and verifying the integrity of data used for analysis
• Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a
related field. A Ph.D. is a plus.
• Proven experience as a Data Scientist, applying statistical modeling, machine learning, and data
analysis techniques in a professional setting.
• Proficiency in programming languages such as Python or R, and familiarity with
libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of statistical analysis methods, experimental design, and hypothesis testing.
• Experience with big data technologies and distributed computing frameworks (e.g., Hadoop,
Spark) is desirable.
• Proficiency in SQL and experience working with databases and data query languages.
• Experience in data mining using state-of-the-art methods
• Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib.
• Excellent problem-solving skills and the ability to think critically to develop innovative solutions.
• Strong communication skills to effectively present complex findings and technical concepts to
• Ability to work both independently and collaboratively in a fast-paced and dynamic environment.
• Strong attention to detail and commitment to delivering high-quality results within tight
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