Dexian
Job Title:
AI Data Scientist Location:
Seffner, FL Employment Type:
Contract-to-Hire
Position Overview We are seeking an experienced
AI Data Scientist
to design, develop, and implement advanced machine learning and artificial intelligence solutions leveraging
Databricks ,
Python ,
Azure , and
SQL . The ideal candidate will have strong experience building and deploying data-driven models in cloud environments, collaborating with data engineers and business stakeholders to turn complex datasets into actionable insights.
Key Responsibilities Develop, train, and deploy
machine learning and AI models
for predictive analytics, automation, and optimization use cases. Utilize
Databricks
for scalable data processing, model training, and orchestration of ML pipelines. Write efficient and reusable
Python
code for data preprocessing, feature engineering, and model development. Work within
Azure Machine Learning
and
Azure Data Factory
environments to manage model lifecycles and data workflows. Query, clean, and analyze large datasets using
SQL
to extract meaningful trends and patterns. Collaborate with
data engineers ,
analysts , and
business stakeholders
to understand objectives and deliver data-driven solutions. Evaluate model performance using appropriate metrics and continuously refine algorithms for accuracy and efficiency. Implement MLOps best practices for continuous integration and deployment of ML models. Develop dashboards and visualizations to communicate insights and performance results.
Required Skills & Qualifications 37 years
of experience as a Data Scientist or Machine Learning Engineer. Strong hands-on experience with
Databricks
(including notebooks, Delta Lake, and MLflow). Advanced proficiency in
Python
(NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, etc.). Solid experience with
Azure Cloud Services
(Azure ML, Data Factory, Synapse, Blob Storage). Strong
SQL
skills for data extraction, transformation, and analysis. Experience building and deploying
ML models
in production environments. Understanding of
data pipelines, feature engineering, and model evaluation techniques . Familiarity with
MLOps
concepts and version control (Git/GitHub). Excellent problem-solving and communication skills; ability to explain complex concepts to non-technical stakeholders.
Preferred Qualifications Masters or PhD in
Computer Science, Data Science, Statistics, Applied Mathematics , or related field. Experience with
Power BI
or
Tableau
for data visualization. Knowledge of
Big Data tools
(Spark, Hive) or
other cloud platforms
(AWS, GCP). Experience in
natural language processing (NLP)
or
generative AI
is a plus.
AI Data Scientist Location:
Seffner, FL Employment Type:
Contract-to-Hire
Position Overview We are seeking an experienced
AI Data Scientist
to design, develop, and implement advanced machine learning and artificial intelligence solutions leveraging
Databricks ,
Python ,
Azure , and
SQL . The ideal candidate will have strong experience building and deploying data-driven models in cloud environments, collaborating with data engineers and business stakeholders to turn complex datasets into actionable insights.
Key Responsibilities Develop, train, and deploy
machine learning and AI models
for predictive analytics, automation, and optimization use cases. Utilize
Databricks
for scalable data processing, model training, and orchestration of ML pipelines. Write efficient and reusable
Python
code for data preprocessing, feature engineering, and model development. Work within
Azure Machine Learning
and
Azure Data Factory
environments to manage model lifecycles and data workflows. Query, clean, and analyze large datasets using
SQL
to extract meaningful trends and patterns. Collaborate with
data engineers ,
analysts , and
business stakeholders
to understand objectives and deliver data-driven solutions. Evaluate model performance using appropriate metrics and continuously refine algorithms for accuracy and efficiency. Implement MLOps best practices for continuous integration and deployment of ML models. Develop dashboards and visualizations to communicate insights and performance results.
Required Skills & Qualifications 37 years
of experience as a Data Scientist or Machine Learning Engineer. Strong hands-on experience with
Databricks
(including notebooks, Delta Lake, and MLflow). Advanced proficiency in
Python
(NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, etc.). Solid experience with
Azure Cloud Services
(Azure ML, Data Factory, Synapse, Blob Storage). Strong
SQL
skills for data extraction, transformation, and analysis. Experience building and deploying
ML models
in production environments. Understanding of
data pipelines, feature engineering, and model evaluation techniques . Familiarity with
MLOps
concepts and version control (Git/GitHub). Excellent problem-solving and communication skills; ability to explain complex concepts to non-technical stakeholders.
Preferred Qualifications Masters or PhD in
Computer Science, Data Science, Statistics, Applied Mathematics , or related field. Experience with
Power BI
or
Tableau
for data visualization. Knowledge of
Big Data tools
(Spark, Hive) or
other cloud platforms
(AWS, GCP). Experience in
natural language processing (NLP)
or
generative AI
is a plus.