Data Scientist - SQL/Python
SkillGigs
Software Engineering, Data Science
Delhi, India
Posted on Saturday, August 19, 2023
SkillGigs is a growing technology company focused on building AI-driven tools to revolutionize the recruitment industry. We are looking for a talented Data Scientist with experience in regenerative AI to join our team and help develop innovative solutions to match employers with the right job candidates.
Responsibilities
- Analyze and interpret large and complex data sets to derive insights and develop predictive models
- Design and develop statistical models and algorithms to solve complex problems in the recruitment industry
- Collect and preprocess data from various sources to train and validate machine learning models
- Collaborate with data engineers and software engineers to develop and deploy scalable and efficient solutions
- Implement and deploy statistical models and algorithms to cloud environments
- Continuously monitor and improve the performance of statistical models in production
- Stay up-to-date with the latest developments in data science research and techniques, especially in regenerative AI, and incorporate them into our solutions
- Communicate technical concepts and results to non-technical stakeholders
- Work collaboratively with the AI/ML team to develop and implement machine learning models and algorithms
- Participate in the recruitment and training of new team members
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field
- 3+ years of experience in data science or related field
- Proficiency in programming languages such as Python, R, or SQL
- Experience with statistical modeling and analysis techniques such as linear regression, logistic regression, decision trees, and clustering
- Familiarity with machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn
- Strong mathematical and statistical skills
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Experience with regenerative AI and the ability to develop and implement models that can adapt to changing data environments
- Excellent problem-solving skills and ability to work independently as well as in a team environment
- Excellent written and verbal communication skills
- PhD in Computer Science, Statistics, Mathematics, or related field
- Experience with natural language processing (NLP) techniques and libraries such as SpaCy, NLTK, or Gensim
- Experience with big data technologies such as Hadoop, Spark, or Hive
- Experience with containerization technologies such as Docker or Kubernetes
- Experience with version control tools such as Git or SVN