Data Scientist

#### Data Scientist##### Diverse Lynx* Bengaluru#### DescriptionAbout Diverse LynxFounded 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 SummaryDiverse 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 ResponsibilitiesData Exploration & AnalysisExplore and analyze large datasets to identify trends, patterns, and correlationsApply statistical techniques and machine learning algorithms to derive actionable insightsModel DevelopmentDesign, develop, and implement predictive models and ML algorithmsCollaborate with business and technical teams to integrate models into business workflowsFeature EngineeringPerform feature engineering to enhance model performanceOptimize feature selection and extraction techniquesData PreprocessingClean, preprocess, and validate raw data to ensure data quality and consistencyHandle missing values, outliers, and data anomaliesModel Evaluation & ValidationEvaluate model performance using appropriate metrics and validation methodsFine-tune models to improve accuracy, precision, and recallCollaboration & CommunicationWork closely with data engineers, analysts, and stakeholders to understand requirementsCommunicate insights and findings to non-technical stakeholders clearlyDeployment & IntegrationSupport deployment of models into production environmentsIntegrate ML solutions with existing systems and processesContinuous LearningStay updated with data science trends, tools, and emerging technologiesRecommend and implement new methodologies to improve analytics capabilitiesRequired Skills & QualificationsStrong understanding of machine learning algorithms and statistical methodsExperience with data preprocessing, feature engineering, and model validationProficiency in Python / SQL (preferred)Experience working with production ML systems is a plusStrong analytical, problem-solving, and communication skillsEducationUG: Any GraduatePG: Any PostgraduateKey SkillsData 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| Designation | : | Data Scientist || Work experience | : | 0 - 1 |### Skills: #J-18808-Ljbffr