Experience Level : 4-7 Years

Location: Bokaro (Onsite)

Notice Period: 15 - 30 days

Must Have Skills: Machine Learning or Statistical Modelling, Python, SQL

Job Description:

Leading Data Science requirement with client and finalizing the scope with all the stakeholders. Architect, Plan and Develop solution and work with different stakeholders to take the sign-off of solutioning and getting deployed with the help of your team.
Substantial hands-on experience with structured and unstructured data handling. Capable of managing large volumes of structured and unstructured data, extract, clean and comprehend.
Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and associates on a daily or periodic basis, contingent on the requirements of the project.
Able to contribute meaningfully to brainstorming discussions around nuances of the project.
Skilled in GenAI, LLM, CNN or RNN or Feed Forward/ Back Propagation Network and Hyperparameter Tuning.
Good Knowledge on Natural Knowledge Processing, Verbatim Analysis & Speech to Text / vice versa using few alternate approaches / techniques.
Comfortable with statistical procedures, such as basic distributions, regressions, logistic models, Time Series, Computer Vision.
Experience with advanced statistics and Machine Learning algorithms is a plus.
Developing comprehensible analytical solutions to solve business problems using domain knowledge or statistical procedures depending on the requirements of the project.
Comfortable in representing the proceedings and/or findings in a power-point.
Comfortable in mentoring junior resources, and creating an environment of learning in the team.

Technical Skills:

Comfortable at solution design and storyboarding
Statistical Modelling and/or Machine Learning / Natural Language Processing (Generative AI)
R and/or Python
Strong Object-Oriented Programming concepts (OOPS) and good in Python
SQL, PowerPoint & Excel
Strong skills on statistical procedures, such as basic distributions, regressions, logistic models, Time Series, Computer Vision
SQL, PowerPoint & Excel
PySpark, Scala is a plus. Familiarity with Deep Learning models, Big Data environments – Hadoop, Hive, etc., and Cloud – AWS / Azure / GCP
Understanding Docker/Kubernative/CICD Pipeline
Visualization tools – Grafana, PowerBI, Tableau (good to have)

Consultant - Data Scientist