Experience:
5 years of experience in data science analytics or a related field.
Experience on applications in Manufacturing desirable.
Technical Skills:
- Proficiency in programming languages such as Python or R.
- Proficiency in statistical/empirical model building
- Extensive experience with time series data analysis and modeling
- Strong knowledge of statistical principles and machine learning techniques (e.g. regression classification clustering neural networks)
- Experience with data manipulation and analysis using libraries such as pandas NumPy and SciPy
- Familiarity with data visualization tools (e.g. Matplotlib Seaborn)
- Experience with SQL and relational databases
- Knowledge of big data technologies (e.g. Hadoop Spark) is a plus
Key Responsibilities:
- Data Analysis: Analyze large complex datasets to identify trends patterns and insights that inform business decisions
- Model Development: Develop implement and validate predictive models and machine learning algorithms to solve various business problems
- Data Cleaning: Preprocess and clean data to ensure its quality and integrity before analysis
- Visualization: Create data visualizations and dashboards to communicate findings to stakeholders in a clear and concise manner
- Collaboration: Work closely with cross-functional teams including engineering product management and marketing to understand their data needs and provide relevant insights
- Reporting: Generate comprehensive reports and presentations that summarize key findings and recommendations