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Full-time
On-site
LinkedIn
Posted 1 month, 4 weeks ago
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Job Description
**Role Overview**
We are seeking a
**high\-impact Senior Data Scientist**
with deep expertise in
**statistics, data analytics, and predictive modeling**
. This role is analytics\-first and outcome\-driven, requiring strong ownership of
**data interpretation, forecasting, and decision support**
. The ideal candidate can independently solve complex business problems using statistical rigor and build reliable prediction models. Exposure to
**machine learning and GenAI (RAG)**
is a strong advantage.
**Core Responsibilities**
* Own
**end\-to\-end analytics and prediction workflows**
from problem framing to business recommendations
* Perform
**deep statistical analysis**
to identify trends, correlations, and causal drivers
* Build, validate, and maintain
**predictive and forecasting models**
(time\-series, regression\-based, multivariate)
* Apply
**inferential statistics**
(hypothesis testing, confidence intervals, variance analysis) to support decisions
* Conduct
**EDA, feature engineering, and data preprocessing**
for high\-quality predictions
* Translate ambiguous business questions into
**quantifiable analytical and predictive frameworks**
* Deliver
**clear, data\-backed insights**
to senior leadership with strong storytelling
* Ensure
**model accuracy, stability, and explainability**
over time
**Must\-Have Skills (Non\-Negotiable)**
* 6–7 years of hands\-on experience in
**Data Science / Advanced Analytics**
* **Strong mastery of Statistics**
* Descriptive \& inferential statistics
* Regression analysis \& Probability distributions
* Hypothesis testing
* Proven experience in
**Data Prediction \& Forecasting**
* Time\-series analysis (trend, seasonality)
* KPI, demand, revenue, or operational prediction
* Advanced
**Python**
skills (Pandas, NumPy, Statsmodels, Scikit\-learn)
* Strong
**SQL**
for complex analytical queries and data validation
* Ability to independently drive analytical projects and influence decisions
**Strong Good\-to\-Have (ML \& GenAI Exposure)**
* Experience with
**machine learning models**
(classification, clustering, ensemble methods)
* Understanding of
**model evaluation, bias, and explainability**
* Exposure to
**LLMs and RAG architectures**
, including:
* Embeddings and semantic search
* Vector databases (FAISS, Pinecone, Chroma)
* LangChain / LlamaIndex frameworks
* Experience integrating analytics outputs with
**AI\-driven applications**
* Cloud\-based data \& analytics environments (AWS / Azure)
**Visualization \& Communication**
* Experience creating
**executive\-level dashboards and analytical reports**
* Strong data storytelling skills for non\-technical stakeholders
* Ability to explain
**statistical and predictive results clearly and confidently**
**Education**
* Bachelor’s or Master’s degree in
**Statistics, Mathematics, Data Science, Computer Science**