Senior Data Scientist

1 day ago

Thiruvananthapuram, Kerala, India Acsia Technologies Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Acsia Technologies is hiring for A Senior Data Scientist

Job Location - Trivandrum (onsite)

Exp - 5 + yrs

Prefer immediate joiners

Website - 

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).

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