ProcDNA - Data Scientist

2 weeks ago

GurgaonGurugram, India PROCDNA ANALYTICS PRIVATE LIMITED Full time

Job Description :


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 200+ across 7 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 We Are Looking For : A data science expert with expertise in designing and developing AI/ML solutions.

What We Are Looking For :

- Study and transform data science prototypes.

- Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets.

- Lead data mining and collection procedures.

- Design Machine learning systems.

- Research and Implement appropriate ML algorithms and tools.

- Run ML tests and experiments.

- Perform statistical analysis and fine-tuning using test results.

- Collaborate with cross-functional teams to understand business needs and translate them into solutions.

- Contribute to data science projects, including data cleaning, feature engineering, model development, and deployment.

- Collaborate in building internal offerings to help client/company grow on aspects beyond project/client work.

Must Have :

- 4+ years of hands-on experience in data science, AI/ML.

-Strong understanding of machine learning.

- Proficiency in languages such as Python or R is essential.

- Knowledge of SQL for database querying is also beneficial.

- Advanced skills in using libraries like Pandas, NumPy, and sci-kit-learn for data manipulation and analysis and using libraries like Matplotlib, Seaborn, etc. for data visualization.

- Solid understanding and practical experience in applying machine learning algorithms for predictive modeling, classification, and clustering.

- Knowledge of deep learning frameworks such as TensorFlow or PyTorch is a bonus.

- Strong statistical skills for hypothesis testing, experimentation, and A/B testing.

- Good organization and planning skills in implementing NLP, and AI/ML solutions.

- Experience in guiding and leading a small team of budding data scientists.

- Strong communication and collaboration skills with the ability to articulate results and issues to internal and client teams.

- Highly motivated with a proven ability to work creatively and analytically in a problem-solving environment with minimal direction.

- Experience with Lifesciences datasets is preferred.

Skills : Machine Learning, Algorithms, Neuro-linguistic Programming (NLP)

(ref:hirist.tech)

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