What are my responsibilities?

As a Data Scientist, you are required to:

• Maintains network to customers, business experts and other subject matter experts to understand the business data analytics requirements, use cases and identify data analytics driven business opportunities.

• Design & develop technical solutions to create meaningful insights for business.

• Develop analytics models using AI techniques for business problems; using existing ML models, customizing the models. Develop validation strategies for the same.

• Configure and deploy algorithms, select optimal tool and define visualization method/tool to display results

• Process, manage, extract and cleanse data to apply Data Analytics in a meaningful way (supportive responsibility).

• Determine sustainable processes to support fast growing data volumes and ensuring of data quality and data accessibility together with the data architect (supportive responsibility).

• Regularly scan the Data Science landscape to stay up to date with latest technologies, techniques, tools, and methods in this field

• Stay curious and enthusiastic about using related technologies to solve problems and enthuse others to see the benefit in business domain

Qualification: Bachelor's or Master's in Computer Science & Engineering. The candidates should have done course on the following topics for 1 semester (or equivalent):

(1) Linear Algebra, (2) Statistics, (3) Pattern Analysis, Machine learning (4) Neural Networks. (5) Datastructures / Algorithms.

Experience level: Minimum 5 years in software development with at least 2 - 3 years hands-on experience in Data Science. 

Desired Knowledge & Experience:

• Good understanding on Statistics, Data analytics, Pattern recognition, Machine learning, Neural networks concepts.

• Experience on data bases, data query languages (SQL), Kusto Query Language, Snowflake.

• Experience in developing Predictive models, customizing the models, training, deployment, monitoring.

• Programming experience:

o Language:  Python  

o Libraries  : NumPy, SciPy : packages, Keras with Tensorflow as backend

• Knowledge of Azure cloud-based Data Storage and Services like (Azure BLOB, AZURE Databricks, Azure Data Factory, etc).

• Working with data from different sources:

Machine Logs. 

Unstructured data, experience in NLP 

• Experience in creating dashboards, visualizations.

• Knowledge & experience in healthcare domain is preferred. 

• SW engineering skills (CI/CD test driven development, git, etc.) desirable.

Required Soft-skills & Other Capabilities:

• Analytical ability, Great attention to detail.

• Drive and the resilience to try new ideas, if the first ones don't work

• Collaborative approach to sharing ideas and finding solutions

• Ability to work independently and also in a global team environment.

• Excellent communication skills, in order to explain your work to people who don't understand the mechanics behind data science.