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Data Scientist - Advanced Analytical Solutions

Data Scientist - Advanced Analytical Solutions

Acsia Technologies Pvt LtdTrivandrum
18 days ago
Job description

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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