Data Scientist
1 month ago
Data Scientist
Relevant Experience
(in Yrs)
6-8 years of Relevant Experience
Technical/Functional Skills
Required Skills:
- 5+ years relevant real-world experience researching, developing, and delivering high impact data driven insights through machine learning.
- Deep understanding of supervised, unsupervised, reinforcement machine learning and NLP / NLU / LLM techniques.
- High proficiency in exploratory data analysis, data profiling, and feature engineering on large structured and unstructured datasets.
- In depth knowledge and hands-on computer programming in SQL, Python, R or similar programming language.
- Excellent written and verbal communication and consultancy skills - ability to succinctly communicate results and tell compelling stories with data to any audience.
- Deep knowledge of probability, statistics and machine learning algorithms and be able to determine when to apply them.
- Familiarity with big data platforms (like Spark, Databricks), machine learning frameworks (like Tensorflow, Keras, MXNet or PyTorch) and libraries (like scikit-learn, numpy, pandas, and scikit-learn) and ability to learn new technologies quickly.
- Knowledge of Azure, or similar cloud platforms.
- Experience presenting to both technical and non-technical audiences and a history of publications or presentations at conferences is a plus.
Yes
Roles & Responsibilities
- Data mining or extracting usable data from valuable data sources
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out preprocessing of structured and unstructured data
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results in a clear manner
- Propose solutions and strategies to tackle business challenges
- Collaborate with Business and IT teams
Optional
Education
- Bachelor's degree
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