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Weekend Data Scientist Deep Learning Jobs in Texas

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

... deep learning, or equivalent) * Experience with MLOps practices including model versioning ... D. in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field

New

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What Drives Success We are seeking a motivated and analytical Data Scientist to develop machine ... Exposure to deep learning techniques. * Experience with distributed deep learning frameworks such ...

... deep learning solutions. * DevOps & MLOps: Proficient in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (Databricks, AWS, GCP, Azure). Experienced with infrastructure-as ...

Sr. Data Scientist

Richardson, TX · On-site

$113 - $148/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What Drives Success We are seeking a motivated and analytical Data Scientist to develop machine ... Exposure to deep learning techniques. * Experience with distributed deep learning frameworks such ...

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What Drives Success We are seeking a motivated and analytical Data Scientist to develop machine ... Exposure to deep learning techniques. * Experience with distributed deep learning frameworks such ...

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a motivated and analytical Data Scientist to develop machine learning models and ... Exposure to deep learning techniques. * Experience with distributed deep learning frameworks such ...

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What Drives Success We are seeking a motivated and analytical Data Scientist to develop machine ... Exposure to deep learning techniques. * Experience with distributed deep learning frameworks such ...

AI/ML Data Scientist | Onsite

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ML/AI Data Scientist - Predictive Modeling Position Overview We are seeking an experienced ML/AI ... Strong knowledge of deep learning architectures including RNNs, LSTMs, GRUs, CNNs, and Transformer ...

As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include ... deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning ...

AI/ML Data Scientist | Onsite

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ML/AI Data Scientist - Predictive Modeling Position Overview We are seeking an experienced ML/AI ... Strong knowledge of deep learning architectures including RNNs, LSTMs, GRUs, CNNs, and Transformer ...

As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include ... deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning ...

Showing results 21-40

Weekend Data Scientist Deep Learning information

What is the difference between Weekend Data Scientist Deep Learning vs Weekend Data Analyst?

AspectWeekend Data Scientist Deep LearningWeekend Data Analyst
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fields; knowledge of deep learning frameworksUsually requires a degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentOften involves working on complex machine learning models, coding in Python or R, and experimenting with neural networksFocuses on data cleaning, reporting, and visualization, often using Excel, Tableau, or Power BI
Employer & Industry UsageUsed in tech companies, research institutions, and AI-focused startupsCommon in finance, marketing, healthcare, and retail sectors

Weekend Data Scientist Deep Learning roles focus on developing advanced AI models and require programming skills, while Weekend Data Analysts handle data interpretation and reporting. Both roles are valuable but differ in technical complexity and industry application.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Texas?

The most popular types of Data Scientist Deep Learning jobs in Texas are:

What job categories do people searching Weekend Data Scientist Deep Learning jobs in Texas look for?

The top searched job categories for Weekend Data Scientist Deep Learning jobs in Texas are:

Full-time

Re-posted 23 days ago


Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)