Data Scientist

4 weeks ago

Thiruvananthapuram, India Acsia Technologies Pvt Ltd Full time

Description : We are seeking a hands-on and results-driven Data Science Specialist with 5-10 years of experience in designing and implementing advanced analytical solutions. The ideal candidate will have strong statistical foundations, demonstrated expertise in solving real-world business problems using Machine Learning, Data Science, and a track record of building and deploying data products. Exposure to NLP and Generative AI will be considered an advantage.Key Responsibilities : - Collaborate with cross-functional teams to translate business problems into data science use cases.- Design, develop, and deploy data science models - including classification, regression, and ideally survival analysis techniques.- Build and productionize data products that deliver measurable business impact.- Perform exploratory data analysis, feature engineering, model validation, and performance tuning.- Apply statistical methods to uncover trends, anomalies, and actionable insights.- Implement scalable solutions using Python (or R/Scala), SQL, and modern data science libraries.- Stay up to date with advancements in NLP and Generative AI and evaluate their applicability to internal use cases.- Communicate findings and recommendations clearly to both technical and non-technical stakeholders.Qualifications : : - Bachelor's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Engineering, or a related discipline is required.- Masters degree or certifications in Data Science, Machine Learning, or Applied Statistics is a strong plus.Experience : - 5+ years of hands-on experience in data science projects, preferably across different domains.- Demonstrated experience in end-to-end ML model development, from problem framing to deployment.- Prior experience working with cross-functional business teams is highly desirable.Must-Have Skills : - Statistical Expertise : Strong understanding of hypothesis testing, linear/non-linear regression, classification techniques, and distributions.- Business Problem Solving : Experience translating ambiguous business challenges into data science use cases.- Model Development : Hands-on experience in building and validating machine learning models (classification, regression, survival analysis).- Programming Proficiency : Strong skills in Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn), and SQL.- Data Manipulation : Experience handling structured/unstructured datasets, performing EDA, and data cleaning.- Communication : Ability to articulate complex technical concepts to non-technical audiences.- Version Control & Collaboration : Familiarity with Git/GitHub and collaborative development practices.- Deployment Mindset : Understanding of how to build data products that are usable, scalable, and maintainable.Nice-to-Have Skills : - Experience with survival analysis or time-to-event modelling techniques.- Exposure to Natural Language Processing (NLP) methods (e.g., tokenization, embeddings, sentiment analysis).- Familiarity with Generative AI technologies (e.g., LLMs, transformers, prompt engineering).- Experience with MLOps tools, pipeline orchestration (e.g., MLflow, Airflow), or cloud platforms (AWS, GCP, Azure). (ref:hirist.tech)

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