Data Scientist – Machine Learning Focus

Role: Data Scientist – Machine Learning Focus

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

Adidev Technologies Inc

Adidev Technologies is seeking 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 Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

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

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)

Benefits

• Competitive Salary

• Paid Relocation

• Remote Support

• Guaranteed Regular Salary Reviews

• Job Type: W2 or Contract 1099 (full-time - 40 hours).
  

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