Data Scientist
CodeRound is hiring for this role for a VC-backed startup.
- Data Scientist
- Python
- SQL
- Machine Learning
- ML Models
- Predictive Modeling
- Data Analysis
- Exploratory Data Analysis
- Statistical Analysis
- Statistical Techniques
- Hypothesis Testing
- Mathematical Modeling
- Data Pipelines
- Data Automation
- Data Visualization
- Dashboards
- A/B Testing
- Spatial Data
- Location AI
Data is now more important than ever and the information distilled from it is crucial to take meaningful decisions. The platform is developed for data scientists to obtain, visualize, and analyze data from heterogeneous sources to build smarter variables that aid decision making. As a part of the data science team, you will be responsible for building predictive models and day-to-day analysis for clients, building algorithms on data collected from hundreds of sources to build location-defining attributes.
What you'll do
- Collaborate with cross-functional teams to understand business requirements and define data science project objectives.
- Collect, clean, and preprocess large-scale datasets from diverse sources to ensure data quality and suitability for analysis.
- Develop and implement machine learning algorithms and predictive models to solve business problems.
- Optimize decision-making processes using machine learning and predictive models.
- Conduct in-depth data analysis and exploratory data analysis to identify patterns, trends, and insights.
- Perform statistical hypothesis testing to identify meaningful insights from data.
- Use advanced statistical techniques and mathematical modeling to uncover relationships between variables and predict outcomes.
- Create and maintain data pipelines and automation processes for efficient data ingestion, transformation, and storage.
- Build and deploy data-driven dashboards, visualizations, and interactive reports to communicate findings to stakeholders.
- Continuously monitor model performance, conduct A/B testing, and fine-tune models to improve accuracy and efficiency.
- Collaborate with software engineers to integrate machine learning models into production systems.
Must have
Proficient in Python. 2+ years of relevant work experience. Prior experience with building ML models. Prior experience with SQL. Knowledge of statistical techniques. Experience working with data for analysis and decision-making. Experience working with large-scale and complex datasets.
Good to have
Experience working with Spatial Data. Experience working with data from diverse sources. Experience with exploratory data analysis. Experience with statistical hypothesis testing. Experience with mathematical modeling. Experience with data pipelines and automation processes. Experience with data-driven dashboards, visualizations, and interactive reports.