About the role
About ProcDNA
ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA
What are we looking for
A data science expert with expertise in designing and developing AI/ML solutions. Advanced skills inusing libraries like Pandas, NumPy, and scikit-learn for data manipulation and analysis, and usinglibraries like Matplotlib, Seaborn, etc. for data visualization.
What you'll do:
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Study and transform data science prototypes.
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Identify relevant data sources and sets to minefor client business needs and collect large,structured, and unstructured datasets.
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Perform statistical analysis and fine-tuningusing test results.
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Research and implement appropriate MLalgorithms and tools.
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Collaborate in building internal offerings to helpclient/company grow on aspects beyondproject/client work.
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Contribute to data science projects, includingdata cleaning, feature engineering, model development, and deployment.
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Run ML tests and experiments.
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Proficiency in languages such as Python or R isessential. Knowledge of SQL for database querying is also beneficial
Must have:
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4.5 - 6 years of hands-on experience in data science, AI/ML.
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Strong understanding of machine learning
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Highly motivated with a proven ability to workcreatively and analytically in a problem-solvingenvironment with minimal direction.
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Solid understanding and practical experience inapplying machine learning algorithms forpredictive modeling, classification, andclustering. Knowledge of deep learning frameworks such as TensorFlow or PyTorch is a bonus.
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Strong communication and collaboration skillswith the ability to articulate results and issues to internal and client teams.
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Experience in guiding and leading a small teamof budding data scientists.
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Strong statistical skills for hypothesis testing,experimentation, and A/B testing