
Unlocking Business Potential Through Data Analysis
4 days ago
Delivering business value through data-driven insights is at the heart of this role.
About the Role- We are seeking a skilled professional to help us extract valuable knowledge from large datasets and make informed decisions to drive our business forward.
- Your primary focus will be on applying data mining techniques, statistical analysis, and building high-quality prediction systems & recommendation engines integrated with our products.
- You will work closely with product management and analytics teams to ensure key customer metrics are tracked, monitored, and improved.
- You will determine the appropriate tools, techniques, and methodologies to extract data that produces meaningful results.
- You will have demonstrable knowledge of building and scaling machine learning pipelines and engineering.
- You will analyze machine learning algorithms to solve complex problems and rank them by their success probability.
- You will explore and visualize data to gain understanding and identify differences in data distribution that could affect performance when deploying the model in the real world.
- You will supervise data acquisition processes, verify data quality, and define validation strategies.
- You will deploy training models, tune hyper-parameters, and contribute to the creation of documentation and user guides.
About You
- Proven experience as a machine learning engineer or similar role with 5-8 years of experience.
- Deep knowledge of mathematics, probability, statistics, and algorithms.
- Strong Python coding and package development skills.
- Hands-on experience in PyTorch, NumPy, Pandas, TensorFlow, Keras, Scikit-Learn, SQL.
- Industry experience in deploying ML/DL models in production.
- Experience with visualization tools like Tableau, Power BI, Streamlit.
- Excellent communication skills and ability to work in a team.
We offer a dynamic and supportive work environment where you can grow your skills and career. If you are passionate about using data to drive business outcomes, we would love to hear from you.
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