Description

About Diverse Lynx Founded in 2002 and headquartered in Princeton, NJ, Diverse Lynx is a WBENC and NMSDC certified global staffing and consulting firm. With over 1,600 professionals worldwide, the company supports clients across IT, Healthcare, Life Sciences, Manufacturing, Engineering, and other domains across the USA, Canada, and India. Job Summary Diverse Lynx is seeking a skilled Data Scientist to analyze complex datasets, build predictive models, and deliver data-driven insights that support business decision-making. The role involves close collaboration with cross-functional teams and deployment of machine learning solutions into production environments. Key Responsibilities Data Exploration & Analysis Explore and analyze large datasets to identify trends, patterns, and correlations Apply statistical techniques and machine learning algorithms to derive actionable insights Model Development Design, develop, and implement predictive models and ML algorithms Collaborate with business and technical teams to integrate models into business workflows Feature Engineering Perform feature engineering to enhance model performance Optimize feature selection and extraction techniques Data Preprocessing Clean, preprocess, and validate raw data to ensure data quality and consistency Handle missing values, outliers, and data anomalies Model Evaluation & Validation Evaluate model performance using appropriate metrics and validation methods Fine-tune models to improve accuracy, precision, and recall Collaboration & Communication Work closely with data engineers, analysts, and stakeholders to understand requirements Communicate insights and findings to non-technical stakeholders clearly Deployment & Integration Support deployment of models into production environments Integrate ML solutions with existing systems and processes Continuous Learning Stay updated with data science trends, tools, and emerging technologies Recommend and implement new methodologies to improve analytics capabilities Required Skills & Qualifications Strong understanding of machine learning algorithms and statistical methods Experience with data preprocessing, feature engineering, and model validation Proficiency in Python / SQL (preferred) Experience working with production ML systems is a plus Strong analytical, problem-solving, and communication skills Education UG: Any Graduate PG: Any Postgraduate Key Skills Data Science • Machine Learning • Predictive Modeling • Feature Engineering • Data Validation • Statistical Analysis • SQL • Python • Model Deployment

Role and Responsibilities

• Key Responsibilities Data Exploration & Analysis Explore and analyze large datasets to identify trends, patterns, and correlations Apply statistical techniques and machine learning algorithms to derive actionable insights Model Development Design, develop, and implement predictive models and ML algorithms Collaborate with business and technical teams to integrate models into business workflows Feature Engineering Perform feature engineering to enhance model performance Optimize feature selection and extraction techniques Data Preprocessing Clean, preprocess, and validate raw data to ensure data quality and consistency Handle missing values, outliers, and data anomalies Model Evaluation & Validation Evaluate model performance using appropriate metrics and validation methods Fine-tune models to improve accuracy, precision, and recall Collaboration & Communication Work closely with data engineers, analysts, and stakeholders to understand requirements Communicate insights and findings to non-technical stakeholders clearly Deployment & Integration Support deployment of models into production environments Integrate ML solutions with existing systems and processes Continuous Learning Stay updated with data science trends, tools, and emerging technologies Recommend and implement new methodologies to improve analytics capabilities