Engineer - Data Analytics and Machine Learning
Engineer - Data Analytics and Machine Learning
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1 Vacancy
Job Description
Key Responsibilities:
- Data Visualization: Create compelling visualizations and dashboards that effectively communicate insights and support datadriven decisionmaking.
- Data Analysis: Analyze complex datasets to identify trends patterns and anomalies using statistical methods and machine learning techniques.
- Collaboration: Partner with crossfunctional teams including product managers and data analysts to integrate ML models and visualizations into applications and business processes.
- Documentation: Maintain thorough documentation of modeling processes data sources and visualization methodologies.
- Mentorship: Guide junior team members in best practices for machine learning and data visualization techniques.
Qualifications :
Qualifications:
- Bachelors or Masters degree in Data Science Computer Science Engineering Statistics or a related field.
- 3 years of experience in data science with a strong emphasis on machine learning and data visualization.
- Proficiency in programming languages such as SAS or JMP Python or R with experience in ML libraries (e.g. TensorFlow Keras scikitlearn).
- Solid experience in data visualization tools (e.g. Tableau Power BI Matplotlib Seaborn) and the ability to design interactive dashboards.
- Strong understanding of data manipulation and analysis using libraries like Pandas and NumPy.
- Familiarity with SQL and experience with relational databases (e.g. PostgreSQL MySQL).
- Knowledge of cloud platforms (e.g. AWS Google Cloud Azure) and their ML services.
Preferred Qualifications:
- Experience with advanced ML techniques such as deep learning or reinforcement learning.
- Familiarity with big data technologies (e.g. Hadoop Spark) and their applications in data processing.
- Understanding of data storytelling and the ability to present complex insights clearly to stakeholders.
- Previous experience in an agile development environment.
- Excellent problemsolving skills creativity and the ability to thrive in a fastpaced setting.
- Strong communication skills to effectively convey technical concepts to nontechnical audiences.
Additional Information :
Western Digital thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
