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Dark Matter Technologies - Data Scientist @ Kpr sugar apperals

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 Dark Matter Technologies - Data Scientist

Job Description

    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 (ref:hirist.tech),

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Dark Matter Technologies - Data Scientist

Contact Details:

Company: Dark Matter
Location(s): Hyderabad

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Keyskills:   Predictive Analytics Data Mining Linear Regression Logistic Regression R Python TSQL SQL Development Deep Learning Neural Networks Decision Trees Statistical Analysis Data Munging

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Kpr sugar apperals

Kpr sugar and apperals ltd