Senior Data Scientist transforming structured and unstructured data into actionable insights. Collaborating with teams to develop data-driven solutions while staying updated on industry trends.
Responsibilities
Analyze large volumes of structured and unstructured data.
Design, develop, and implement statistical models and machine learning algorithms to predict outcomes and solve complex business problems.
Collect, clean, and preprocess data from multiple sources.
Develop dashboards and data visualizations to effectively communicate findings and insights.
Collaborate closely with IT, marketing, and other business teams to understand requirements and deliver data-driven solutions.
Stay up to date with data science industry trends, tools, and technologies to continuously improve processes and products.
Requirements
A PhD is a big plus with research mindset
2+ years of work experience as a Data Scientist or in a similar role.
Experience with IoT and/or Manufacturing data (time series data)
Computer Vision: can be waived if strong on the first three
MLOps, AWS, and GenAI are nice to have
Strong proficiency in Python, R, and SQL.
Experience with data visualization tools such as Tableau or Power BI.
Solid knowledge of statistical analysis and applied statistics.
Hands-on experience with machine learning frameworks such as TensorFlow, scikit-learn, or PyTorch.
Experience handling large-scale data and working with data warehousing solutions.
Strong business acumen with the ability to translate data insights into actionable business strategies.
Advanced level of English C1- C2.
Strong communication skills, empathy, commitment, and leadership abilities.
Benefits
Attractive Salary + Premium Benefits
Performance bonuses, grocery coupons, and savings are found.
Aguinaldo, premium vacations, and vacations paid
SGMM Medical insurance, family, and Life insurance.
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