SKILLS:

Mandatory Skills:

• Excellent written and verbal communication skills with ability to collaborate with functional and technical stakeholders.


• Analytical Skills - The ability to collect information and identify fundamental patterns/trends in data. This includes the ability to gather, integrate, and interpret information from several sources.


• Excellent data visualization skills.


• Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.


• Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc).


• Good understanding of word-to-vec algorithms.


• Ability to develop capabilities in Text Analytics ranging such as Topic Modelling, Text annotations, Parts of speech tagging, Paraphrasing, summarization, Voice to text conversion, language translations etc).

Desired Skills:

• Bachelor’s Degree in Computer Science, Data Science/Machine Learning, Statistics or Mathematics.


• Experience in Programing (Python, R, SQL, NoSQL, Hive, Pig, Hadoop, Spark) with ML tools.


• Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.


• Experience in building advanced NLP models is desirable.


• Experience in SAS, SPSS is desirable.


• Experience in Data processing & Visualization such as Tableau.


• Experience in Data science Cloud platforms (AWS, GCP, Azure).

What you’ll be responsible for:

• Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Marketing, Banking, Insurance, etc.


• Contribute to internal product development initiatives related to data science.


• Develop data science roadmap, and guide data scientist to meet their deliverables.


• Manages a team in the assigned business area to ensure project and/or program objectives and business needs across multiple business domains (e.g. Marketing, IT, Insurance, Finance) are met.


• Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments.


• Providing required inputs to sales, and pre-sales activities.

Challenges (also responsible) you’ll be facing in the role:

• Should be flexible to work at any time during production escalation or during critical deliveries.


• Prompt action is required for all the jobs.


• Expected to have flawless delivery.


• Should be ready to attend client calls and understand the requirement/instruction clearly.


• Should be capable to transfer knowledge to others.