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The Senior Data Scientist is responsible for leading the design, development, and implementation of advanced data models, machine learning algorithms, and statistical analyses. This role aims to drive strategic decision-making and solve high-impact business challenges across various functions. The Senior Data Scientist will collaborate with cross-functional teams to develop solutions, integrate insights, and optimize business outcomes.
The role requires a deep understanding of data science principles, strong analytical skills, and proficiency in machine learning techniques. It also involves working on data wrangling, exploratory analysis, and model deployment, with a focus on achieving production-ready AI/ML solutions that are aligned with business goals.
RESPONSIBILITIES
* Develop End-to-End Data Science Projects: Lead data science initiatives from business exploration and model prototyping to deployment and performance monitoring.
* Data Collection and Integration: Collect and integrate data from various sources, including databases, APIs, and cloud platforms, ensuring data quality and integrity.
* Data Cleaning and Preprocessing: Clean, preprocess, and validate datasets to ensure they meet quality standards for analysis.
* Model Development: Design and develop predictive models and AI systems to optimize manufacturing operations, enable predictive maintenance, and improve supply chain logistics.
* Collaboration: Work closely with engineering teams and business stakeholders to ensure that AI/ML solutions are aligned with business objectives and production-ready.
* Communication: Effectively communicate insights to both technical and non-technical audiences through reports, visualizations, and dashboards.
* Continuous Learning: Stay current with emerging trends, tools, and best practices in data science and artificial intelligence, ensuring that the organization remains on the cutting edge of technology.
PROFILE
Education:
* Master’s degree in Computer Science, Statistics, Data Science, Engineering, or a related field (Ph.D. preferred).
Work Experience:
* Minimum 5 years of hands-on experience in data science or a related field, with expertise in machine learning, statistical analysis, and model deployment.
Knowledge, Skills and Abilities:
* Strong proficiency in Python and SQL.
* Advanced experience with machine learning libraries and frameworks.
* Strong knowledge of statistical analysis, machine learning techniques, and experimental design.
* Hands-on experience with data wrangling and model development.
* Knowledge of cloud platforms and model deployment in different infrastructures.
* Excellent problem-solving, communication, and presentation skills.
* Ability to work collaboratively with diverse teams to achieve business goals.
Travel Requirements:
* Occasional travel may be required for business needs, approximately 15 %
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Wholesale Building Materials
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