Senior Data Scientist

Acsia Technologies is hiring for A Senior Data Scientist!!!

Job Location - Trivandrum (onsite)

Exp - 5 + yrs

Prefer immediate joiners

Website - www.acsiatech.com

LinkedIn -  Acsia Technologies: Posts | LinkedIn

We are seeking a hands-on and results-driven Sr 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:

• Education:

• Bachelor's degree in a quantitative field such as 

  Statistics, Computer Science, Mathematics, Engineering

  , or a related discipline is required.
• Master’s 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).