Data Scientist Specialist
6 days ago
We're seeking a talented Data Scientist to join our team, leveraging data science techniques to drive innovation and influence business strategies. As a key member of our analytics group, you'll collaborate with cross-functional teams to turn data into valuable insights.
Key Responsibilities:- Data Analysis and Modeling: Analyze large datasets to uncover hidden patterns, correlations, and trends using machine learning algorithms, statistical models, and advanced data analysis techniques.
- Develop Predictive Models: Build and deploy predictive models using regression, classification, clustering, and time series analysis, deploying them on cloud-based platforms like AWS, GCP, or Azure.
- Data Exploration and Feature Engineering: Clean, transform, and extract meaningful features from raw data to improve the accuracy and performance of machine learning models.
- Collaborate with Cross-Functional Teams: Work closely with engineers, product managers, and business stakeholders to understand their needs and translate them into data science solutions.
- Experimentation and A/B Testing: Design and conduct A/B tests and experiments to measure the impact of new features, marketing campaigns, or product improvements.
- Data Visualization and Reporting: Create data visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders.
- Data Science Expertise: Strong knowledge of data science techniques, including machine learning, statistical analysis, and predictive modeling, with hands-on experience developing models and generating insights from large datasets.
- Data Wrangling and Feature Engineering: Proficiency in data manipulation and feature engineering, with experience working with large datasets and preparing them for machine learning models.
- Machine Learning and AI Knowledge: Hands-on experience developing and deploying machine learning models, including regression, classification, clustering, and time series analysis.
- Data Visualization and Communication: Expertise in creating data visualizations and reports to communicate insights, presenting complex findings in an easy-to-understand format.
- Collaboration and Communication: Strong collaboration skills, with the ability to work with cross-functional teams and communicate complex data insights to non-technical stakeholders.
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Data Scientist Opportunity Specialist
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Data Engineering Leadership Role
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Étreux, Hauts-de-France, United States BNY Mellon Full timeBNY Mellon is a leading global financial services company that empowers employees to grow and succeed. With nearly 20% of the world's investible assets at its fingertips, the company touches every corner of the globe.As a pioneer in innovation and inclusivity, BNY Mellon has been recognized as one of America's Most Innovative Companies by Fortune in 2024 and...
