Data Science - 2 Years - Gurgaon

Job Description

Summary - An exciting opportunity for Data Science professionals who are passionate about solving complex business problems using Machine Learning, NLP, Predictive Analytics, and advanced statistical techniques. The role offers an opportunity to work on large-scale enterprise data transformation projects in a fast-paced analytics-driven environment.Location: Gurgaon (Hybrid)Your Future Employer A globally recognized analytics and digital transformation organization known for delivering data-driven business solutions, AI innovation, and advanced analytics services to enterprise clients across industries.ResponsibilitiesDevelop and deploy scalable Machine Learning and Predictive Modeling solutions.Work extensively with Python and SQL for data extraction, transformation, analysis, and model development.Build and optimize NLP-based solutions for business use cases.Design and implement ML Ops pipelines for model deployment, monitoring, and lifecycle management.Perform data analysis, feature engineering, model evaluation, and performance optimization.Collaborate with business stakeholders and cross-functional teams to translate business problems into analytical solutions.Work on structured and unstructured datasets to derive actionable insights and business value.RequirementsStrong hands-on experience in Python and SQL.Strong understanding of Data Science concepts and Machine Learning algorithms.Experience in NLP and Predictive Modeling projects.Good exposure to ML Ops and model deployment frameworks.Strong analytical thinking and problem-solving abilities.Ability to work in a collaborative and fast-paced environment.Excellent communication and stakeholder management skills.Preferred SkillsExperience with cloud-based ML environments.Exposure to advanced analytics and AI-driven business solutions.Knowledge of model monitoring and automation frameworks.Whats in it for youOpportunity to work on high-impact AI and analytics projects.Exposure to cutting-edge Machine Learning and NLP technologies.Fast-paced growth environment with continuous learning opportunities.Reach us If you think this role aligns with your career aspirations, kindly share your updated CV at hidden_email for a confidential discussion.Disclaimer Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging and memorable hiring experience. Crescendo Global does not discriminate on the basis of race, religion, gender, age, marital status, or disability.Note Due to the high volume of applications received daily, only shortlisted candidates will be contacted within 1 week. We appreciate your patience.Profile Keywords:Data Scientist, Machine Learning, Python, SQL, NLP, Predictive Modeling, ML Ops, Artificial Intelligence, Data Analytics, Advanced Analytics, AI Engineer, Statistical Modeling, Model Deployment, Data Engineering, Generative AI, Analytics Consulting Summary - An exciting opportunity for Data Science professionals who are passionate about solving complex business problems using Machine Learning, NLP, Predictive Analytics, and advanced statistical techniques. The role offers an opportunity to work on large-scale enterprise data transformation projects in a fast-paced analytics-driven environment.Location: Gurgaon (Hybrid)Your Future Employer A globally recognized analytics and digital transformation organization known for delivering data-driven business solutions, AI innovation, and advanced analytics services to enterprise clients across industries.ResponsibilitiesDevelop and deploy scalable Machine Learning and Predictive Modeling solutions.Work extensively with Python and SQL for data extraction, transformation, analysis, and model development.Build and optimize NLP-based solutions for business use cases.Design and implement ML Ops pipelines for model deployment, monitoring, and lifecycle management.Perform data analysis, feature engineering, model evaluation, and performance optimization.Collaborate with business stakeholders and cross-functional teams to translate business problems into analytical solutions.Work on structured and unstructured datasets to derive actionable insights and business value.RequirementsStrong hands-on experience in Python and SQL.Strong understanding of Data Science concepts and Machine Learning algorithms.Experience in NLP and Predictive Modeling projects.Good exposure to ML Ops and model deployment frameworks.Strong analytical thinking and problem-solving abilities.Ability to work in a collaborative and fast-paced environment.Excellent communication and stakeholder management skills.Preferred SkillsExperience with cloud-based ML environments.Exposure to advanced analytics and AI-driven business solutions.Knowledge of model monitor

Keyskills :
PythonSQLData ScienceMachine LearningNLPPredictive ModelingML OpsModel DeploymentCloudbased ML