Applied Data Scientist

Applied Data ScientistJob Title: Applied Data Scientist Job Type: Full-Time / Permanent Location: Hyderabad (Onsite) About the CompanyAnicalls has been a trusted IT recruitment partner since 2006, providing highly skilled technology professionals to leading organizations across India and globally. We are currently hiring for one of our esteemed clients. Job SummaryWe are looking for a talented Applied Data Scientist to design, develop, and support data-driven solutions that improve business performance, revenue, operational efficiency, risk management, and customer outcomes. The ideal candidate will collaborate with business, data, and engineering teams to build scalable, secure, and production-ready analytical and machine learning solutions. Key ResponsibilitiesDesign, develop, and deploy data-driven solutions to solve complex business problems.Build predictive and machine learning models using Python and statistical techniques.Analyze structured and unstructured data to generate actionable business insights.Develop and optimize SQL queries for data extraction, transformation, and analysis.Conduct data exploration, feature engineering, and model evaluation.Design and execute experiments, including A/B testing, to validate business hypotheses.Create dashboards, reports, and visualizations to communicate insights effectively.Collaborate with business stakeholders and engineering teams to translate business requirements into analytical solutions.Monitor model performance and continuously improve predictive accuracy.Maintain technical documentation and follow data science best practices.Required SkillsStrong proficiency in PythonExcellent knowledge of SQLStrong foundation in Statistics and ProbabilityHands-on experience with Machine Learning algorithms and model developmentExperience with Data Visualization tools such as Power BI, Tableau, or MatplotlibKnowledge of Experimentation techniques, including A/B testing and hypothesis testingStrong analytical, problem-solving, and communication skillsPreferred SkillsExperience with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, or SeabornFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud PlatformKnowledge of data engineering concepts and ETL pipelinesExperience with Git, Docker, and CI/CD pipelinesUnderstanding of MLOps and model deployment is an added advantageExperienceUp to 5 years of overall IT experience.Minimum 12 years of relevant hands-on experience in Data Science, Machine Learning, or closely related technologies.Candidate Details RequiredTotal Work Experience:Relevant Experience in Data Science:Current Employer:Current CTC:Expected CTC:Notice Period:Current Location:Are you comfortable working from the Hyderabad officeIf you are interested in this opportunity, please share your updated resume at [HIDDEN TEXT]. Applied Data ScientistJob Title: Applied Data Scientist Job Type: Full-Time / Permanent Location: Hyderabad (Onsite) About the CompanyAnicalls has been a trusted IT recruitment partner since 2006, providing highly skilled technology professionals to leading organizations across India and globally. We are currently hiring for one of our esteemed clients. Job SummaryWe are looking for a talented Applied Data Scientist to design, develop, and support data-driven solutions that improve business performance, revenue, operational efficiency, risk management, and customer outcomes. The ideal candidate will collaborate with business, data, and engineering teams to build scalable, secure, and production-ready analytical and machine learning solutions. Key ResponsibilitiesDesign, develop, and deploy data-driven solutions to solve complex business problems.Build predictive and machine learning models using Python and statistical techniques.Analyze structured and unstructured data to generate actionable business insights.Develop and optimize SQL queries for data extraction, transformation, and analysis.Conduct data exploration, feature engineering, and model evaluation.Design and execute experiments, including A/B testing, to validate business hypotheses.Create dashboards, reports, and visualizations to communicate insights effectively.Collaborate with business stakeholders and engineering teams to translate business requirements into analytical solutions.Monitor model performance and continuously improve predictive accuracy.Maintain technical documentation and follow data science best practices.Required SkillsStrong proficiency in PythonExcellent knowledge of SQLStrong foundation in Statistics and ProbabilityHands-on experience with Machine Learning algorithms and model developmentExperience with Data Visualization tools such as Power BI, Tableau, or MatplotlibKnowledge of Experimentation techniques, including A/B testing and hypothesis testingStrong analytical, problem-solving, and communication skillsPreferred SkillsExperience with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, or SeabornFamiliarity with c