Senior Data Scientist - Machine Learning (3-6 yrs)

Job Summary :

We are seeking a highly motivated and detail-oriented Data Scientist/Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for building and deploying predictive and prescriptive models, performing hypothesis testing, generating insights, and conducting root cause and factor analysis. You will play a critical role in transforming raw data into meaningful insights that drive strategic decision-making.

Note : Require candidate from Tier 1 colleges only- IITs, NIT, VIT, BITS Pilani only

Key Responsibilities :

- Hypothesis Testing & Insights Generation: Design and conduct hypothesis testing to validate business assumptions. Generate actionable insights to inform business strategies and decision-making.

- Root Cause & Factor Analysis: Perform detailed root cause analysis to identify drivers behind business trends. Conduct factor analysis to uncover hidden relationships within data sets.

- Model Development: Develop predictive and prescriptive models using statistical methods and machine learning algorithms. Employ techniques such as regression analysis, classification, clustering, and more.

- Model Testing & Improvement: Split datasets into training and testing sets, ensuring balanced and unbiased data distribution. Continuously improve model accuracy and robustness through tuning and validation. Monitor model performance post-deployment and implement necessary adjustments.

- Data Extraction & Preparation: Extract data from Enterprise Data Warehouses (EDW) and Big Data platforms. Prepare datasets through base data creation, aggregation, and transformation processes. Conduct Exploratory Data Analysis (EDA) to understand data characteristics and quality.

- Collaboration & Communication: Work closely with cross-functional teams including business analysts, data engineers, and product managers. Present findings and recommendations to both technical and non-technical stakeholders.

Minimum Qualifications :

- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.

- 3+ years of professional experience in data science

- Strong exposure to machine learning concepts, algorithms, and statistical modeling.

- Proficiency in at least one programming language such as Python, R, or Java.

- High proficiency in data interpretation, with the ability to derive meaningful insights from complex datasets.

Preferred Qualifications (Nice to Have) :

- In-depth knowledge of statistical and machine learning concepts.

- Hands-on experience with Python libraries such as Scipy, Numpy, Pandas, IPython, and Scikit-learn.

- Experience in distributed big data processing frameworks such as PySpark.

- Familiarity with Jupyter Notebooks for interactive data analysis and visualization.

- Knowledge of Linux operating systems and AWS cloud platforms for data processing and deployment.