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Urgent! Data Scientist Job Opening In Thiruvananthapuram – Now Hiring Acsia Technologies Pvt Ltd



Job description

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


Required Skill Profession

Mathematical Science Occupations



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