Data Scientist / Analyst
Soul Machines Ltd
N/A
Job Details
Not Specified
Full Job Description
We are seeking a talented Data Scientist/Analyst to join our team. You will play a critical role in driving data-driven decision-making and product innovation. Your responsibilities will include:
Key Responsibilities:
- Data Collection and Cleaning: Gather, clean, and preprocess large and complex datasets.
- Exploratory Data Analysis (EDA): Conduct in-depth EDA to uncover insights and patterns.
- Feature Engineering: Create and engineer relevant features to improve model performance.
- Model Development and Training: Develop, train, and evaluate machine learning models, including classification, regression, clustering, and time series analysis.
- Model Deployment: Deploy models into production environments, ensuring scalability and reliability.
- Model Monitoring and Optimization: Continuously monitor model performance and make necessary adjustments.
- Data Visualization: Create clear and informative visualizations to communicate insights to both technical and non-technical audiences.
- Collaboration: Work closely with cross-functional teams, including engineers, product managers, and business analysts.
Requirements
- Strong proficiency in Python or R programming languages.
- Strong proficiency in SQL
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of statistical concepts and data mining techniques.
- Experience with data visualization tools like Tableau, PowerBI, or Matplotlib.
- Excellent problem-solving and analytical skills.
Preferred Experience
- Experience with our tech stack and working with the data in each would be preferred (amplitude and stripe, followed by domo, segment, braze)
- Experience with cloud platforms (AWS, GCP, Azure).
- Knowledge of big data technologies (Hadoop, Spark).
- Experience with natural language processing (NLP) or computer vision.
- A strong understanding of business needs and how data can drive business decisions.
Benefits
- Remote Working
- Flexible working arrangements