Dark Matter Technologies - Data Scientist - Machine Learning (10-15 yrs)

Key Responsibilities :

- Selecting features, building, and optimizing classifiers using machine learning techniques

- Hypothesis testing, being able to develop hypothesis and test them with careful experiments

- Experience in implementing Predictive modelling

- Collaborate with cross-functional teams (data engineers, front-end developers, security specialists) to integrate AI models into business solutions.

- Conducts research and experiments to improve AI models and algorithms.

- Stays updated with the latest AI/ML technologies and trends.

- Implements and deploys AI models using cloud AI services.

- Ensures the quality and scalability of AI solutions

Skills :

At least 10 years- experience in Predictive Analytics and Data Mining with hands-on experience in the following areas :

- Linear Regression

- Classification Techniques

- Logistic Regression

- Discriminant Analysis

- Unsupervised Learning techniques like k-means/hierarchical clustering

- Feature reduction methods like PCA, SVD

- Experience in Optimization methods

- Experience with working in R/Python, T-SQL etc, and graph based models

- Must have hands on development experience with Python

- Proven experience as a Data Scientist and machine learning model builder

- Understanding of Azure Machine Learning and other Azure AI tools.

- Proficiency in data modelling and design, including SQL development and

- Develop and deploy machine learning models for key use cases, including regression, predictive analytics, ranking systems, and trend forecasting.

Hands-on implementing various machine learning algorithms such as linear regression, deep learning using neural networks, logistic regression, decision trees, and clustering algorithms.

- Perform advanced feature engineering to optimize models and extract meaningful patterns from raw data.

- Work with large-scale datasets, ensuring efficiency and scalability in data processing and analysis

- Collaborate with stakeholders to understand business challenges and design data science solutions that meet organizational needs.

- Strong understanding of statistical analysis and machine learning algorithms.

- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

- Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance