Senior Data Scientist

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

This is a remote position. KATBOTZ seeking a highly skilled Senior Data Scientist to join our remote project team. The ideal candidate will have strong expertise in machine learning, statistical modeling, predictive analytics, and large-scale data processing. The candidate will work closely with business stakeholders, engineering teams, and leadership to develop data-driven solutions that support strategic business decisions and advanced analytics initiatives.

Key Responsibilities

• Design, develop, and deploy machine learning and predictive analytics models.
• Analyze large and complex datasets to identify trends, insights, and business opportunities.
• Build scalable data science solutions and optimize model performance.
• Collaborate with data engineering and business teams to define project requirements and deliver analytical solutions.
• Develop data pipelines, feature engineering processes, and model evaluation frameworks.
• Implement AI/ML algorithms for forecasting, classification, recommendation, and automation use cases.
• Present analytical findings and recommendations to technical and non-technical stakeholders.
• Ensure data quality, governance, and compliance standards are maintained.
• Mentor junior data scientists and support best practices across the team.
• Stay updated with emerging technologies and advancements in Data Science and AI.

Required Skills & Qualifications

• 10+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong expertise in Python, R, SQL, and statistical analysis.
• Hands‑on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms such as Amazon AWS, Microsoft Azure, or Google GCP.
• Experience with big data and analytics platforms such as Databricks Databricks, Snowflake Snowflake, or Spark.
• Strong understanding of statistical modeling, NLP, forecasting, and predictive analytics.
• Experience with data visualization tools like Power BI, Tableau, or Looker.
• Excellent analytical, problem‑solving, and communication skills.
• Ability to work independently in a remote environment.

Preferred Qualifications

• Experience working on AI/LLM or Generative AI projects.
• Knowledge of MLOps and model deployment pipelines.
• Experience working with distributed/global teams.
• Relevant certifications in Data Science, AI, or Cloud technologies are a plus.

Benefits

• Competitive compensation package
• Opportunities for professional development and career advancement.
• Flexible working conditions, with remote options available.
• Dynamic and supportive work environment.

Equal Employment Opportunity

KATBOTZ LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination‑free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.

Originally posted on Himalayas