Overview
Cloud Migration Engineer role focused on applying advanced statistical and machine learning techniques, with a strong emphasis on data science, analytics and dashboarding.
What you'll do
- Utilize advanced statistical and machine learning techniques to address complex business problems.
- Develop, refine, and implement models that enhance decision-making processes.
- Perform comprehensive preprocessing of both structured and unstructured data to ensure its quality and relevance.
- Analyze vast datasets to identify trends, patterns, and correlations that contribute to informed decision-making.
- Conduct ad-hoc analyses to provide timely and relevant insights, along with actionable recommendations to address pressing business questions.
- Develop and implement machine learning solutions, including audience segmentation, marketing engagement level evaluation, and prioritization of sales engagement with accounts.
- Effectively communicate complex findings and insights to both technical and non-technical stakeholders.
- Utilize specialized tools to transform data into visually compelling and easily interpretable dashboards.
- Design, develop, and maintain user-friendly data visualizations using Looker that align with project objectives.
- Document methodologies, data sources, and models to ensure transparency and reproducibility.
What you'll need
- Data Science (must have skill).
- Minimum 5 year(s) of experience is required.
- 15 years full time education.
- Proficient in SQL and Data Engineering.
- Python libraries: Numpy, Pandas, Sklearn, Scipy, Matplotlib.
- BigQuery ML.
- Linear/Logistic Regression.
- K-means clustering.
- Decision trees.
- Recommender systems.
- Marketing Analytics.
- DS use cases (e.g. customer segmentation, propensity modeling).
- Data modeling.
- Dashboarding using Looker.
- Experimental design/analysis.
- Statistical analysis and hypothesis testing.
- Agile methodologies/SDLC.
Nice to have
- Python (Programming Language).
Details
Read the full description and apply on the company’s own careers page.