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Trainee Data Science Social Good Jobs (NOW HIRING)

We advise our trainees not to wait till the next class to seek answers to any technical issue ... Good online training virtual class room environment. Highly qualified and experienced trainers.

We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... choice. • Good online training virtual class room environment. • Highly qualified and ...

We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... choice. • Good online training virtual class room environment. • Highly qualified and ...

Data Science

San Francisco, CA · On-site

$90 - $120/hr

However, using innovative technologies such as our own in-house apps, social networks, and digital ... You will play a key role in bridging the gap between Data Scientists, Machine Learning Engineers ...

We advise our trainees not to wait till the next class to seek answers to any technical issue ... Good online training virtual class room environment. Highly qualified and experienced trainers.

We advise our trainees not to wait till the next class to seek answers to any technical issue ... Good online training virtual class room environment. Highly qualified and experienced trainers.

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Very good knowledge of the foundations of machine learning and statistics * Experience in building ... Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to ...

Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are ...

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Interns participate in team meetings, social events, and all company perks - you'll be treated as ...

Biomedical Data Science

Palo Alto, CA · On-site

$90 - $120/hr

Participation in Stanford's social responsibility and sustainable programs for a better world * A ... The successful candidate will apply modern data science, biomedical informatics, and artificial ...

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Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Re-posted 2 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)

Employment Type: FULL_TIME