Data Science

Adidev Technologies Inc · San Francisco, California, United States · 5 months ago

Employment: Contract
Category: Data science
Experience: 1+ years

aws cloud computer-vision data-pipelines data-science data-visualization data-warehousing deep-learning distributed-computing etl feature-engineering

Location: San Francisco,California,United States

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)

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Location: San Francisco,California,United States