Ml Developer - Dsa Job in Vconstruct

Essential Functions and Responsibilities Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems Analyze and extract relevant information from large amounts of historical business data to help automate and optimize key processes Design, develop and evaluate highly innovative models for predictive learning Establish scalable, efficient, automated processes for large scale data analyses model development, model validation and model implementation Work with a variety of data sources - extracting knowledge and actionable information from massive datasets Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions Perform extensive data validation/quality assurance analysis within large datasets Build proactive data validation automation to catch data integrity issues Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics Strong ability of solutioning the problem statement using various ML Algorithms Ability to build tabular and/or visualization reports as needed Work independently and with team members to understand database structure and business processes Work within an Agile methodology to design, develop, test, and implement analytics and reporting features and functions Create queries to provide ad hoc reports, analysis, and datasets based on business needs. Takes the initiative to work with other cross functional teams to solve business problems. Skills and Qualifications 2 to 4 years of relevant experience in one of the following areas: Data Science, Machine Learning, Business intelligence or Business analytics Upto 2 years of hands-on experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly detection, Pattern detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning Good programming skills in Python/ Scala/ Java Good to have knowledge about Deep Learning frameworks such as TensorFlow, Theano and others Experience in building full stack data science models with various Azure technologies. Working knowledge of Azure/AWS or any other cloud platform Have exposure in Data warehouse such as Teradata/Oracle/Snowflake/Amazon Redshift. Proficiency with statistical analysis tools (e.g., SAS, SPSS, R) and Hands on experience in Statistical Techniques such as Decision Tree, Segmentation, Logistic and Multiple Regression, and others. Work on technologies related to NoSQL, SQL and In Memory platform(s) Experience in RPA will be added advantage Experience working with US or overseas clients will be preferred. Technical Skills Experience in R or Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) Good programming skills in Python/ R/ Scala/ Java Experience with common data science toolkits such as R, NumPy, MatLab, Pandas, Scikit-learn, TensorFlow, Keras etc. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, artificial neural networks Experience with relational SQL and NoSQL databases like SQL Server, Oracle, Snowflake Reporting & Visualization Tools like Power BI, Looker, SSRS General Ability to multi-task Ability to work in a collaborative team environment Strong communication (oral and written) and interpersonal skills required to interact with colleagues and internal customers. Excellent at troubleshooting issues Ability to develop productive business relationships with internal team members through cooperation, courtesy and professionalism Ability to play an integral part in project delivery given tight constraints and uncompromising quality Motivated to identify and develop solutions leveraging best practices Capable of explaining complex technical issues to clients and internal resources