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Data Scientist

Location
Ahmedabad​
Experience Required
2 - 4 years
Qualification
MSc.IT, MCA, BE, or Equivalent

Job Description

Skills

  1. Mathematics & Statistics:
    • Strong understanding of Linear Algebra, Multivariable Calculus, Probability & Statistics
    • Hands-on experience with statistical inference, hypothesis testing, and confidence intervals
  2. Machine Learning & Algorithms:
    • Practical knowledge of supervised and unsupervised learning
    • Comfortable with algorithms like regression, SVMs, decision trees, and clustering
    • Understanding of model performance evaluation (F1-score, AUC-ROC, cross-validation, etc.)
  3. Technical Skills:
    • Proficient in Python (NumPy, Pandas, Scikit-learn, Statsmodels)
    • Experience with ML libraries like TensorFlow, PyTorch
    • Exposure to Jupyter, Matplotlib/Seaborn, and Git
  4. Problem-Solving Mindset:
    • Strong analytical and critical thinking
    • Ability to convert vague requirements into well-defined problems

Comfortable dealing with incomplete, noisy, or unstructured data

Responsibility

– Translate real-world problems into well-structured mathematical/statistical models
– Design and implement algorithms using linear algebra, optimization, and probability theory
– Develop predictive and classification models using ML techniques (e.g., regression, trees, neural networks, clustering)
– Conduct exploratory data analysis and feature engineering on large datasets
– Use hypothesis testing, inferential statistics, and confidence intervals to validate results
– Collaborate with product and engineering teams to integrate models into production pipelines

Good to have

– Exposure to graph theory, time-series analysis, or numerical methods
– Experience with real-time data pipelines, GraphQL, SQL, or NoSQL
– Experience in scientific computing or simulation modeling

An applicant must be a strong fit with Triveni’s core values

– Honesty, integrity, and fairness
– Respect for individual ability, creativity, and diversity
– Teamwork and open communication
– Passion and commitment
– Enjoyment of work and life