Data Scientist
5 months ago
Karkhana.io is a new age manufacturing platform. Manufacturing is a highly unorganized industry, and the process of procuring a custom part or a product is inefficient. Karkhana.io is changing this through its technology platform: which provides intelligent manufacturing feedback, transparent pricing and on-demand manufacturing of parts - all from your computer. Karkhana.io is building a technology platform with an ambition to transform B2B manufacturing in India through digitalization of the vendor ecosystem: procurement, project management, and logistics.
**Responsibilities**:
**Data Analysis and SQL Querying**: Conduct thorough data analyses using SQL queries to extract insights and inform model development and business strategies.
**Dashboard Creation**: Develop interactive dashboards to visualize data insights, model performance metrics, and key business indicators, facilitating informed decision-making across teams.
**Recommendation and Search Systems**: Create and refine algorithms for recommending suppliers and enhancing our supplier search directory, based on comprehensive data analysis and modeling.
**Data Pipeline and Architecture**: Design and maintain robust data pipelines for efficient data processing and analysis, leveraging advanced tools and technologies.
**Feedback and Education**: Lead the development of feedback mechanisms to gather actionable insights, and mentor team members on adopting AI and data science methodologies in complex projects.
Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm.
Solve challenging, uncharted problems.
Work in an environment that thrives on teamwork and continuous learning opportunities.
**Qualifications**:
Bachelor or Master’s in Computer Science, Data Science, Statistics, or a related field.
Proven 3+ years of experience in designing and deploying machine learning models and AI solutions.
Strong programming skills in Python, R, or similar languages, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn). Knowledge of backend development is plus.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Skit-learn) and cloud services (e.g., AWS, Azure, GCP).
Knowledge of data pipeline and architecture tools (e.g., Kafka, Spark, RabbitMQ, Hadoop).
Expertise in SQL and experience with database management and data analysis.
Proficiency in developing interactive dashboards and visualizations (e.g., using Metabase, Tableau, excel, Power BI).
Exceptional analytical and problem-solving abilities.
Excellent communication and teamwork skills, with the ability to mentor and lead projects.
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