Data Scientist - Analytics Firm

Opportunity into data scientist role with an analytics company

As a Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes.

Roles & Responsibilities :

- Engage with clients to understand current and future business goals and translate business problems into analytical frameworks

- Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs

- Create repeatable, interpretable and scalable models

- Effectively communicate the analytics approach and insights to a larger business audience

- Collaborate with team members, peers and leadership at our company and client companies

Experience :

- Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.

- 4+ years of experience in data science, building hands-on ML models

- Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.

- Excellent programming skills in Python. Strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.

- Advanced SQL skills with SQL Server and Spark experience.

- Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks

- Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.

- Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment

- Experience with data visualization tools - PowerBI, Tableau, R Shiny, etc. preferred

- Experience with cloud platforms such as Azure, AWS is preferred but not required