Company:
Syntricate Technologies Inc
Location: San Antonio
Closing Date: 22/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Position- Senior Data Science Lead
Duration-Contract
Location- San Antonio, TX
JD
" 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 Qualifications:
" 7-12 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 MLOpsx experience
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : (phone number removed) |
Email : | Web:
We're hiring! connect with us on and visit our
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to .
Duration-Contract
Location- San Antonio, TX
JD
" 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 Qualifications:
" 7-12 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 MLOpsx experience
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : (phone number removed) |
Email : | Web:
We're hiring! connect with us on and visit our
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to .
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