Position Summary

We are seeking a highly skilled and experienced Sr. Data Scientist to join our dynamic Data Science and AI team. In this role, you will be instrumental in transforming data into actionable insights and innovative solutions, driving forward our business strategy. You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms.

This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.

Key Responsibilities

Engage in the ideation and prototyping of new solutions to meet emerging business requirements.
Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.
Leads multiple data science projects ensuring alignment with business goals.
Develops predictive models and integrates them with Business Intelligence tools. Optimizes model performance, addressing issues such as overfitting, underfitting, and bias.
Develops and maintains data pipelines for efficient data retrieval and processing. Collaborates with applications and data engineering teams for deploying models at scale.
Mentors junior data scientists in model development and data handling.
Engages with Senior Leadership to inform strategic decisions using business intelligence insights.
Researches and adopts cutting-edge technologies and methodologies in data science.
Performs exploratory data analysis to identify patterns, insights, and communicate findings.
Manages stakeholder expectations and delivers actionable solutions.
Oversees data processing pipelines ensuring data quality and consistency.
Drives ethical considerations in model deployment and data utilization.
Collaborates with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets

Education and Experience

Bachelor’s Degree in Information Technology, related field or equivalent experience preferred
Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field preferred
5+ years of relevant experience required.
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.
Strong problem-solving, critical thinking, and analytical capabilities.

Sempera

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