drjobs Data Scientist – Machine Learning Focus

Data Scientist – Machine Learning Focus

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1 Vacancy
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Job Location drjobs

San Jose, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Role: Data Scientist Machine Learning Focus

(This role is open to US Citizens Green Card holders GCEAD 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 largescale applications for one of our wellknownclients.

Job Description

Demonstrated experience using machine learning deep learning statistical methodology and simulation/optimization modeling in geospatial network topography recommendationsystems environmental systems and/or agronomic problems.
Strong foundation in Python programming in a cloud environment.
Strong quantitative abilities distinctive problemsolving and excellent analysis skills
Expertise in data wrangling using SQL
Practical knowledge and experience with cloudcomputing 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 SciKitLearn TensorFlow PyTorch) Spacy MongoDB PostgreSQL Flask streamlet and a good knowledge of data pipelinesconstruction

Must have

Understanding of various machine learning algorithms(e.g. SVM Random Forests Gradient Boosting LogLog regression XGBoost Lasso Ridge Clustering techniques Neural Networks and others)
Regression(e.g. Linear/Logistic/MNL/Mixed Effects/Regularization)
Classification(Kmeans 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 classificationCNN RNN LSTMKeras
Machine Learning algorithmsNeural Networks Nave Bayes Bagging & Boosting Random Forest
Distributed computing tools andcloud technology(AWS)

Benefits

Employment Type

Full-Time

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