What are the responsibilities and job description for the Data Scientist position at BlueFish Technologies?
Mandatory Skills : Data Science, SQL, Python or R
Position Overview :
We are looking for a highly experienced Data Scientist (DS) who thrives on solving complex problems through cutting-edge machine learning algorithms and advanced statistical techniques. This role requires a deep technical skillset and the ability to design, build, and deploy predictive models to drive business decisions and innovation.
Key Responsibilities :
Develop and implement advanced data science models, including clustering, segmentation, random forest, gradient boosting (e.g., XGBoost), ensemble techniques, and constrained optimization methods.
Explore additional approaches such as neural networks, support vector machines, and Bayesian methods to address diverse business challenges.
Design and execute matched-pair analyses, predictive analytics, and other statistical approaches to address business challenges.
Collaborate with stakeholders to identify use cases for advanced modeling and provide data science-driven solutions.
Engineer features and preprocess data to optimize model performance and interpretability.
Work with large datasets from diverse sources, ensuring data quality and consistency.
Perform model evaluation, tuning, and validation using appropriate techniques and metrics.
Deploy machine learning models into production environments, ensuring scalability and reliability.
Mentor and collaborate with team members to share knowledge and best practices.
Stay current on advancements in data science, tools, and methodologies to bring innovation to the team.
Qualifications :
Proficiency in Python or R, with strong experience in libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
Advanced knowledge of machine learning algorithms, statistical modeling, and data preprocessing techniques.
Strong foundation in mathematics, statistics, and computer science.
4 years of experience as a data scientist or in a related role.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
Proficiency in SQL for data extraction and manipulation.
Demonstrated ability to handle complex datasets and derive actionable insights.
Excellent communication and collaboration skills to work with cross-functional teams.
Experience deploying models into production environments is highly desirable.
