Dark Matter Technologies - Senior Data Scientist - Machine Learning

About The Company

At Dark Matter Technologies, we're at the forefront of a tech-driven revolution in loan origination.

Our commitment to cutting-edge AI and origination technology solutions are reshaping the industry landscape, illuminating a path towards seamless, efficient, and automated experiences.

About The Role

We are seeking a highly skilled and experienced Senior Data Scientist to join our team, someone who can build machine learning models and is experienced with using different algorithms for regression, prediction, deep learning, etc.

Someone who can be self-sufficient in identifying data sources, analyzing data, and write machine code with python (or Azure ML) and create models.

Job Location : Hyderabad and Bhubaneswar.

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.
  
  

Required 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.
• Excellent problem-solving skills and ability to work independently as well as part of a team.
• Strong communication skills, both written and verbal, with the ability to communicate complex technical concepts to non-technical stakeholders.
  
  

Preferred Skills

• Exposure to machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Leverage Azure Machine Learning to manage data pipelines, experiments, and deployments.
• Exposure to implementing end-to-end AI solutions using Azure AI services and Azure Cognitive Services.
• Certification in Microsoft Azure AI relative to Azure Machine Learning.
• Expert database knowledge in SQL.
• Proficiency in Azure Data Services (Data Factory, Synapse Analytics).
  
  

(ref:hirist.tech)