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LRN Corporation
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Senior Data Scientist

Senior Data Scientist

LRN Corporation

6 - 11 years

8 - 13 Lacs

mumbai

Posted:2 hours ago| Platform:

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Skills Required

python eda modeling numpy random forest machine learning dashboards sql pandas tableau decision tree data science gcp statistical modeling clustering data visualization aws xgboost logistic regression data wrangling communication skills ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Work with cross-functional teams to understand business problems and translate them into data science tasks.

Analyze structured and unstructured data (e.g., text, course interactions, HRIS data, survey responses, logs) to surface insights and patterns.
Build predictive and descriptive models using machine learning and statistical techniques.
Experiment with generative AI (LLMs, embeddings, prompt engineering, fine-tuning) to explore new capabilities.
Collaborate with data engineers, product managers, and designers to turn models into production-ready features.
Communicate findings through visualizations, dashboards, and clear storytelling

What were looking for:

Core Skills

Ability to take initiative in identifying new opportunities where data science or AI can drive value even in loosely defined or ambiguous problem spaces.
Solid grasp of data wrangling, EDA, and basic statistical modeling.
Comfort working with SQL and exploring data in relational databases.
Experience working with Python and common libraries (pandas, numpy, etc.).
Familiarity with a subset of standard modeling techniques such as:
Logistic regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM)
Clustering (K-Means, DBSCAN)
Text vectorization (TF-IDF, word embeddings, sentence transformers)
Dimensionality reduction (PCA, t-SNE, UMAP)

Generative AI & ML

Familiarity with large language models (e.g., OpenAI, Hugging Face, etc.).
Experience using embeddings, vector databases, or prompt-based pipelines.
Interest or experience in fine-tuning or evaluating generative models.

Mindset & Collaboration

Eagerness to learn and apply new tools, techniques, and frameworks.
Ability to work independently and push through ambiguity.
Strong communication skills and a collaborative spirit.
Comfortable receiving feedback, iterating fast, and delivering value.

Nice-to-Have Extras

Experience with data visualization tools (e.g., Plotly, Dash, Tableau, Streamlit).
Exposure to model monitoring, ML Ops, or data pipelines.
Interest in ethics, compliance, education, or B2B SaaS domains.
Familiarity with cloud platforms like AWS or GCP.

Excellent medical benefits, including family plan
Paid Time Off (PTO) plus India public holidays
Competitive salary
Combined Onsite and Remote Work

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