About ProcDNA:
ProcDNA is a global consulting firm. We fuse design thinking with cuttingedge tech to create gamechanging Commercial Analytics and Technology solutions for our clients. Were a passionate team of 200 across 7 offices all growing and learning together since our launch during the pandemic. Here you wont be stuck in a cubicle youll be out in the open water shaping the future with brilliant minds. At ProcDNA innovation isnt just encouraged its 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 finetuning using test results.
- Collaborate with crossfunctional 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 handson 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 scikitlearn 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 problemsolving environment with minimal direction.
- Experience with Lifesciences datasets is preferred.
machine learning algorithms,data science,pytorch,algorithms,python,deep learning frameworks,sci-kit-learn,lifesciences datasets,sql,numpy,communication skills,seaborn,r,statistical skills,ai/ml,tensorflow,matplotlib,neuro-linguistic programming (nlp),nlp,collaboration skills,machine learning,pandas