Company:
Syntricate Technologies Inc
Location: San Antonio
Closing Date: 23/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Required Skills:
10 years of relevant experience in data science, advanced statistics or business analytics
Ability 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 visualizations
Model 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 mining
Exceptional interpersonal skills and written communication skills
Strong experience in documenting model methodologies, performance and hypothesis testing
Ability to evaluate risks and provide recommendations / solutions in a timely manner
Experience 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 applications
Must have MLOps experience
Ability to understand a problem statement and implement analytical solutions techniques independently or with minimal supervision
Work and collaborate with other teams to deliver and create value
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to Client trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
should 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 analytics
Ability 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 visualizations
Model 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 mining
Exceptional interpersonal skills and written communication skills
Strong experience in documenting model methodologies, performance and hypothesis testing
Ability to evaluate risks and provide recommendations / solutions in a timely manner
Experience 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 applications
Must have MLOps experience
Ability to understand a problem statement and implement analytical solutions techniques independently or with minimal supervision
Work and collaborate with other teams to deliver and create value
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to Client trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
should have good hands on experience on basic non linear Client techniques and able to explain the previous project experience PL language : Python
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