Data Scientist at adidevtechnologies

Setup: Remote, Hybrid
Location: Austin, Texas
Type: Full-time

Description

Adidev Technologies Inc. is urgently seeking a Data Scientist/Data Science Specialist with 1-2 years of relevant experience. The role involves enhancing and debugging large-scale applications, utilizing machine learning, deep learning, and statistical methodologies. Candidates should possess strong Python programming skills in a cloud environment, expert data wrangling using SQL, and practical knowledge of cloud-computing systems like Kubernetes. This position requires applying NLP and computer vision for business solutions, engaging in scientific data analysis, and communicating results effectively.

Required Skills

machine learning
deep learning
statistical methodology
simulation/optimization modeling
Python programming
cloud environment
quantitative abilities
problem-solving
analysis skills
data wrangling
SQL
cloud-computing systems
pipelines
Kubernetes
querying/extracting/aggregating data
Natural Language Processing
Computer Vision
scientific data analyses
modeling
visualization
communication of results
Python libraries
NumPy
Pandas
SciKit-Learn
TensorFlow
PyTorch
Spacy
MongoDB
PostgreSQL
Flask
streamlet
data pipelines construction
Understanding of various machine learning algorithms
Regression
Classification
Dimension Reduction techniques
Optimization
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)
SQL
statistical modeling
Feature engineering
Data visualization
Deploying models to production
Python programming
AWS
powerbi/tableau
data warehouse

Additional Information

Required Previous Experiences: 1-2 years of relevant experience in Data Science
At least 2 years of relevant experience in Data Science
Preferred Qualifications: Experience 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.
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 disciplines
Degree in Data Science, Computer Science, Engineering, Math, or Statistics