Jr. Data Scientist6 - 8 years working across Financial Services, Healthcare, Insurance, and Manufacturing Domain preferably in firms specializing in Data and analytics ( 3 -5 years of experience)
Bengaluru/SolapurWe are seeking a highly skilled Data Scientist to join our team. The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field and proven experience as a Data Science Developer, Data Scientist, or similar role. Our Expectation is in three parts.
As part of Data Science team, work extensively with the team and senior management in evolving the right Go-To-Market strategies, assisting the Sales Team in acquiring new customers, and proactively identifying opportunities through account mining
Use statistical and machine learning techniques to develop predictive models, algorithms, and data products.
Work with complex data sets to extract insights and develop actionable recommendations for business stakeholders.
Design, develop and implement machine learning pipelines and production-ready systems that handle high traffic and real-time data.
Collaborate with cross-functional teams to integrate data science models into business systems and applications.
Create and maintain documentation on data science models, algorithms, and pipelines.
Keep up to date with the latest developments in machine learning, data science, and related fields and apply them to business problems as needed.
Develop natural language processing, text understanding, classification, pattern recognition, recommendation, targeting, ranking, or similar systems.
Troubleshoot and solve issues with data pipelines, machine learning models, and data systems.
Develop and maintain APIs for model deployment.
Bachelor's or Master's in Computer Science, Data Science, Statistics, or a related field: Fundamental for understanding the theoretical aspects of the role.
Proficiency in Statistics candidate should possess a strong mathematical foundation, particularly in statistics including statistical analysis, hypothesis testing, and data modeling to derive actionable insights from complex data sets.
Proficiency in AI/ML Models: Candidates must have proven experience in developing machine learning models and algorithms with a deep understanding of various machine learning frameworks and libraries.
They should be skilled in Python programming and be capable of building APIs to deploy machine learning models.
Proficiency in Data Science Implementation Best Practices and Emerging Trends
Experience with cloud services such as GCP, Azure, and AWS is desired. They should also be familiar with Agile development methodologies and distributed data/computing tools.
Proficient in SQL and experience with big data platforms like Hadoop, Spark, or similar technologies
Strong mathematical skills (e.g., statistics, algebra): Fundamental for data modeling and analysis.
Expertise in LLMs - OpenAI, Gemini etc
Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn
Strong experience in data wrangling, data cleaning, data preprocessing, and data visualization using tools such as Pandas, NumPy, and Matplotlib.
Experience with distributed data/computing tools
Knowledge of database systems such as MySQL, MongoDB, and PostgreSQL and familiarity with SQL and NoSQL databases
Experience with natural language processing (NLP) techniques such as sentiment analysis, text classification, and topic modeling, and proficiency in using NLP libraries such as NLTK, spaCy, and Gensim
Job Type: Full-time
Pay: 309,
- 77 - 1,182,766.56 per year
Experience: - total work: 3 years (Preferred)
Work Location: In person
