Remote Senior Data Scientist: ML, Forecasting & Analytics

KATBOTZ; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation package

Professional development

Flexible remote work

Dynamic and supportive environment

Job summary

KATBOTZ LLC is seeking a highly skilled Senior Data Scientist for a fully remote role. You will design, build, and deploy machine learning models, analyze large datasets, and collaborate with stakeholders to drive data-driven decisions.

This position requires extensive experience in ML, statistical modeling, NLP, forecasting, and cloud-based data platforms. You will mentor junior data scientists and help shape our analytics strategy while ensuring data quality and governance.

Qualifications

• 10+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Proficiency in Python, R, SQL and statistical analysis.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with big data/analytics platforms (Databricks, Snowflake, Spark).
• Strong knowledge of statistical modeling, NLP, forecasting, and predictive analytics.

Responsibilities

• Design, develop, and deploy ML and predictive analytics models.
• Analyze large datasets to identify trends and opportunities.
• Build scalable data science solutions and optimize model performance.
• Collaborate with data engineering and business teams to define project requirements.
• Develop data pipelines, feature engineering processes, and model evaluation frameworks.
• Implement AI/ML algorithms for forecasting, classification, recommendation, and automation.

Skills

Python

R

SQL

Statistics

TensorFlow

PyTorch

Scikit-learn

Cloud platforms

Spark

Databricks

Snowflake

Power BI

Tableau

NLP

Forecasting

Communication

MLOps

Remote work

Tools

Databricks

Snowflake

Spark

Job description

KATBOTZ LLC is seeking a highly skilled Senior Data Scientist for a fully remote role. You will design, build, and deploy machine learning models, analyze large datasets, and collaborate with stakeholders to drive data-driven decisions.

This position requires extensive experience in ML, statistical modeling, NLP, forecasting, and cloud-based data platforms. You will mentor junior data scientists and help shape our analytics strategy while ensuring data quality and governance.