Data Science Specialist

Adidev Technologies Inc

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 LSTMKeras
• 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)