MPC is seeking a Sr. Data Scientist to transform data into actionable insights and innovative solutions, driving forward business strategy by leveraging advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges.
Requirements
- Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications.
- Artificial Intelligence (AI) and Machine Learning (ML) - Understanding of AI/ML concepts, algorithms, and platforms to design architectures that support intelligent systems and enable AI-driven applications.
- Data Analysis - The process of measuring and managing organizational data, identifying methodological best practices, and conducting statistical analyses.
- Data Mining and Extraction - Data mining is sorting through data to identify patterns and establish relationships.
- Natural Language Processing - Proficiency in analyzing and extracting insights from unstructured text data, including sentiment analysis, topic modeling, and language understanding.
- Statistical Analysis - Statistical Analysis is used in support of decision-making and includes fundamental principles such as data collection and sampling, random variable types and probability distributions, sampling, and population distributions, making estimations from samples, hypothesis testing, and statistical process control.
Responsibilities
- Develops predictive models and integrates them with Business Intelligence tools.
- Develops and maintains data pipelines for efficient data retrieval and processing.
- Collaborates with applications and data engineering teams for deploying models at scale.
- Researches and adopts cutting-edge technologies and methodologies in data science.
- Oversees data processing pipelines ensuring data quality and consistency.
- Performs exploratory data analysis to identify patterns, insights, and communicate findings.
- Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.
Other
- Leads multiple data science projects ensuring alignment with business goals.
- Mentors junior data scientists in model development and data handling.
- Engages with Senior Leadership to inform strategic decisions using business intelligence insights.
- Manages stakeholder expectations and delivers actionable solutions.
- Drives ethical considerations in model deployment and data utilization.
