Syntricate Technologies
Lead Data Scientist
Syntricate Technologies, San Antonio, Texas, United States, 78208
Required Skills:
10 years of relevant experience in data science, advanced statistics or business analyticsAbility to Client effective solutions to complex problems.Strong skills in data-structures and algorithms.Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizationsModel building using various statistical tools (Python, etc.) and data modeling techniques using SQL, etc. along with regular validation of models as advised by management.Grasp at databases including RDBMS, NoSQL, MongoDB etc.Experience in data miningExceptional interpersonal skills and written communication skillsStrong experience in documenting model methodologies, performance and hypothesis testingAbility to evaluate risks and provide recommendations / solutions in a timely mannerExperience using statistical computer languages (Python) to manipulate data and draw insights from large data sets. Experience working with data architectures.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applicationsMust have MLOps experienceAbility to understand a problem statement and implement analytical solutions techniques independently or with minimal supervisionWork and collaborate with other teams to deliver and create valueIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to Client trends and patternsBuild predictive models and machine-learning algorithmsCombine models through ensemble modelingPresent information using data visualization techniquesPropose solutions and strategies to business challengesshould have good hands on experience on basic non linear Client techniques and able to explain the previous project experience PL language : Python
10 years of relevant experience in data science, advanced statistics or business analyticsAbility to Client effective solutions to complex problems.Strong skills in data-structures and algorithms.Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizationsModel building using various statistical tools (Python, etc.) and data modeling techniques using SQL, etc. along with regular validation of models as advised by management.Grasp at databases including RDBMS, NoSQL, MongoDB etc.Experience in data miningExceptional interpersonal skills and written communication skillsStrong experience in documenting model methodologies, performance and hypothesis testingAbility to evaluate risks and provide recommendations / solutions in a timely mannerExperience using statistical computer languages (Python) to manipulate data and draw insights from large data sets. Experience working with data architectures.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applicationsMust have MLOps experienceAbility to understand a problem statement and implement analytical solutions techniques independently or with minimal supervisionWork and collaborate with other teams to deliver and create valueIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to Client trends and patternsBuild predictive models and machine-learning algorithmsCombine models through ensemble modelingPresent information using data visualization techniquesPropose solutions and strategies to business challengesshould have good hands on experience on basic non linear Client techniques and able to explain the previous project experience PL language : Python