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Senior Data Scientist - ML, Python
Abode Techzone LLC
- +2
- +8
- United States
- +2
- +8
- United States
À propos
Exp: 12+ Years
MUST HAVE
Strong expertise in data science, machine learning, and statistical modeling. Proficiency in tools and languages such as
Python, SQL , pySpark, ML packages. Expertise in building -
XGBoost
type classification models and
ARIMA/SARIMA
type forecasting models Bachelor's or Master's degree in
Mathematics, Physics, Data Science, Statistics, AI/ML Good experience in quantitative analytics or data science
Job responsibilities:
Responsible for coding and testing customized analytical models of medium to high degree of complexity. Must be able to implement best practices when writing and testing code. Familiarity with the life cycle of a data science project and
extensive experience with python and XGboost , Arima/Sarima is a must . Requires strong interpersonal and communication skills, operational
Elasticsearch
knowledge and ability to construct GUI interfaces Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs Proven experience in developing models using
Regression, Decision trees, Bayesian networks, Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms . Proven experience in building and implementing Timeseries and forecasting models. Experience in Deep Learning model development using
TensorFlow, Keras, PyTorch Hands on experience in building
ML workflows Experience in Model implementation, Governance, and monitoring. Responsibilities include Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules. Working experience in
Python, R and SQL Experience in Python data science packages such as
numPy, SciPy and SciKit-learn Nice to Have:
Fluent with Natural Language Processing and text analytics libraries
(NLTK, SpaCy ) Experience with Data Science Platforms
(Dataiku, H2o, Azure...) Experience with one of Subversion/
SVN, Git, GitHub, GitLab, Mercurial , or other version control system Experience with
cloud platforms AWS, Azure, GCP a plus Knowledge in
Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka Familiar working in an
AGILE
environment
Compétences idéales
- Data Science
- Machine Learning
- PySpark
- Python
- SQL
- Statistical Modeling
- TensorFlow
- XGBoost
Expérience professionnelle
- Machine Learning
- Data Scientist
Compétences linguistiques
- English
Avis aux utilisateurs
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