The Data Science department plays a pivotal role in our company generating value to us by developing algorithms and analytical productiongrade solutions We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes such as classification models NLP anomaly detection graph theory deep learning and more As a Data Scientist you will assume the classic datascience role of an endtoend project development and implementation practitioner Being part of the team requires a mix of hard quantitative and analytical skills solid background in statistical modeling and machine learning a technical datasavvy nature along with a passion for problemsolving and a desire to drive datadriven decisionmaking What Youll Be Doing Data Exploration and Preprocessing Collect clean and transform large complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling Apply statistical methods and mathematical models to identify patterns trends and relationships in data sets and develop predictive models Machine Learning Develop and implement machine learning algorithms such as classification regression clustering and deep learning to solve business problems and improve processes Feature Engineering Extract relevant features from structured and unstructured data sources and design and engineer new features to enhance model performance Model Development and Evaluation Build train and optimize machine learning models using stateoftheart techniques and evaluate model performance using appropriate metrics Data Visualization Present complex analysis results in a clear and concise manner using data visualization techniques and communicate insights to stakeholders effectively Cooperative ProblemSolving Collaborate with crossfunctional teams including product managers data engineers software developers and business stakeholders to identify datadriven solutions and implement them in production environments Research and Innovation Stay up to date with the latest advancements in data science machine learning and related fields and proactively explore new approaches to enhance the companys analytical capabilities Qualifications B Sc M Sc is a plus in Computer Science Mathematics Statistics or a related field 3 years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production Strong understanding and practical experience with various machine learning algorithms Proficiency in Python Experience with SQL and data manipulation tools e g Pandas NumPy to extract clean and transform data for analysis Solid foundation in statistical concepts and techniques including hypothesis testing regression analysis time series analysis and experimental design Strong analytical and critical thinking skills to approach business problems formulate hypotheses and translate them into actionable solutions Proficiency in data visualization libraries to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and nontechnical stakeholders Demonstrated ability to work effectively in crossfunctional teams collaborate with colleagues and contribute to a positive work environment Advantages Experience in the fraud domain Experience with Airflow CircleCI PySpark Docker and K8S Requirements name Infogain location Bangalore IN experience 6 8 years Primary Skills Airflow CircleCI Collaborate Data Science Data Visualization Docker Machine Learning NLP NumPy Pandas PySpark Python SQL Statistical Analysis anomaly detection collaborate data engineers data quality data visualization deep learning hypothesis testing machine learning regression analysis The Data Science department plays a pivotal role in our company generating value to us by developing algorithms and analytical productiongrade solutions We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes such as classification models NLP anomaly detection graph theory deep learning and more As a Data Scientist you will assume the classic datascience role of an endtoend project development and implementation practitioner Being part of the team requires a mix of hard quantitative and analytical skills solid background in statistical modeling and machine learning a technical datasavvy nature along with a passion for problemsolving and a desire to drive datadriven decisionmaking What Youll Be Doing Data Exploration and Preprocessing Collect clean and transform large complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeli

📌 Data Science Analyst Senior (Bengaluru)
🏢 Infogain
📍 Bengaluru