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Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of more than 6 months, offering a pay rate of $80,000 - $130,000 per year. Key skills include Python, SQL, Apache Spark, and cloud experience in AWS/Azure.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
590
-
🗓️ - Date
December 6, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
San Francisco, CA
-
🧠 - Skills detailed
#Azure Data Factory #Python #Security #PySpark #ADF (Azure Data Factory) #S3 (Amazon Simple Storage Service) #Data Pipeline #Batch #SQL (Structured Query Language) #ADLS (Azure Data Lake Storage) #Looker #Strategy #Data Science #Synapse #Airflow #AWS S3 (Amazon Simple Storage Service) #Azure ADLS (Azure Data Lake Storage) #Cloud #Databricks #Docker #Snowflake #GDPR (General Data Protection Regulation) #Stories #Logging #Observability #REST (Representational State Transfer) #Anomaly Detection #AI (Artificial Intelligence) #Delta Lake #FHIR (Fast Healthcare Interoperability Resources) #ML (Machine Learning) #Redshift #Tableau #Scala #Compliance #Data Governance #Apache Spark #Kafka (Apache Kafka) #Data Modeling #Storage #AWS (Amazon Web Services) #Lambda (AWS Lambda) #"ETL (Extract #Transform #Load)" #Data Warehouse #Spark (Apache Spark) #Terraform #dbt (data build tool) #Monitoring #Microsoft Power BI #BI (Business Intelligence) #Linux #Data Quality #GitHub #GIT #Data Engineering #Java #Azure
Role description
Urgently hiring Senior Data Scientist!
This Jobot Job is hosted by: Kendall Kaing
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $80,000 - $130,000 per year
A Bit About Us
Are you interested in working for the world's largest cannabis market with a footprint that covers the entire breadth of the state of California? Are you someone who wants to be part of the growth of a fast-growing industry? At client company, our mission is clear: to provide the ultimate one stop shop cannabis experience by offering exceptional customer service and diversified products. We strive to build long-term customer loyalty. Were building a consumer-centric organization that is focused on sharing the transformational potential of cannabis with the world.
Our product line is one of the best-selling cannabis brands in the market today and has claimed the title of the best-selling vape brand across all BDSA-tracked markets and best-selling brand overall in the California market! We are rooted in California and have expanded our operations across the United States, with even more growth on the horizon! Additionally, were building distribution networks to bring our products to over 60 countries worldwide.
We recognize that our employees are at the center of our success, and we take pride in a corporate culture that emphasizes our core values: Influence, Inspire, Innovate, Win, & Grow!
Our employees come from a wide range of retail backgrounds, each bringing their own unique skills and talents to the table as we work together to continue our incredible growth. If you are interested in partaking in the journey of building a nationally recognized and leading brand, we want to hear from you!
Why join us?
Benefits & Compensation
Additional details about compensation and benefits eligibility for this role will be provided during the hiring process. All employees are provided competitive compensation, paid training, and employee discounts on our products and services. We offer a range of benefits packages based on employee eligibility, including:
Paid Vacation Time, Paid Sick Leave, Paid Holidays, Parental Leave.
Health, Dental, and Vision Insurance.
Employee Assistance Program.
401k with generous employer match.
Life Insurance.
Job Details
Data Scientist
Why this role matters
Youll architect, build, and operate the data infrastructure that powers analytics, machine learning, and operational reporting across the organization. This is a hands-on role for a data scientist who thrives at the intersection of engineering, modeling, and production-grade systems.
What youll do
• Design and evolve our lakehouse architecture (Delta Lake on AWS/Azure), including storage layout, compute strategy (Databricks, EMR, Synapse), and performance SLAs
• Build robust batch and streaming data pipelines using Apache Spark (PySpark/Scala), Databricks Workflows, Azure Data Factory, and event-driven integrations (Kinesis, Event Hubs, Kafka)
• Develop and maintain analytical and ML-ready data models, semantic layers, and dimensional schemas for BI and production use
• Implement observability and reliability features including custom Spark metrics, anomaly detection, logging, and automated data quality checks
• Optimize compute and storage performance through cluster tuning, caching, partitioning, and format selection, with measurable cost savings
• Enforce data governance policies including RBAC, row-level security, cataloging, lineage tracking, and compliance with GDPR, HIPAA/FHIR, and CCPA/CDPA
• Collaborate with analytics, product, and platform teams to define SLAs, manage incident response, and guide data contract best practices
• Mentor junior engineers and lead design reviews, setting standards for scalable, maintainable data systems
What you bring
• 8+ years of experience in data science or data engineering
• Expert-level Python and SQL; working knowledge of Scala/Java for Spark
• 35+ years of experience with Apache Spark and Databricks (including Delta Live Tables and performance tuning)
• Strong cloud experience in AWS (S3, EMR, Glue, Lambda, Kinesis) and/or Azure (ADLS Gen2, ADF, Event Hubs, Synapse)
• Experience with orchestration tools (Airflow, ADF) and transformation frameworks (dbt)
• Familiarity with data warehouses such as Snowflake, Redshift, or Databricks SQL
• Proven track record of cost and performance optimization in cloud data environments
• Solid foundation in data modeling, CI/CD, Docker/Linux, and Git
• Ability to translate business needs into scalable data products and lead projects end-to-end
Nice to have
• Experience with custom Spark listeners, low-latency streaming, or event-driven architectures
• Exposure to healthcare data pipelines (FHIR) and DLT troubleshooting
• Dashboarding experience with Power BI, Tableau, or Looker
• Familiarity with governance frameworks and MLOps (feature stores, model monitoring)
Our stack
Databricks, Spark (PySpark/Scala), Delta Lake, Airflow, ADF, dbt, AWS (S3/EMR/Glue/Kinesis), Azure (ADLS/Synapse/Event Hubs), Terraform, GitHub Actions, Docker, CloudWatch, REST
Success in 612 months looks like
Reliable, observable pipelines with <1% failure rate and clear SLAs 3050% faster time-to-insight for key analytics use cases Significant cost savings from optimized compute and storage High stakeholder trust in platform reliability and alerting systems
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobots policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Urgently hiring Senior Data Scientist!
This Jobot Job is hosted by: Kendall Kaing
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $80,000 - $130,000 per year
A Bit About Us
Are you interested in working for the world's largest cannabis market with a footprint that covers the entire breadth of the state of California? Are you someone who wants to be part of the growth of a fast-growing industry? At client company, our mission is clear: to provide the ultimate one stop shop cannabis experience by offering exceptional customer service and diversified products. We strive to build long-term customer loyalty. Were building a consumer-centric organization that is focused on sharing the transformational potential of cannabis with the world.
Our product line is one of the best-selling cannabis brands in the market today and has claimed the title of the best-selling vape brand across all BDSA-tracked markets and best-selling brand overall in the California market! We are rooted in California and have expanded our operations across the United States, with even more growth on the horizon! Additionally, were building distribution networks to bring our products to over 60 countries worldwide.
We recognize that our employees are at the center of our success, and we take pride in a corporate culture that emphasizes our core values: Influence, Inspire, Innovate, Win, & Grow!
Our employees come from a wide range of retail backgrounds, each bringing their own unique skills and talents to the table as we work together to continue our incredible growth. If you are interested in partaking in the journey of building a nationally recognized and leading brand, we want to hear from you!
Why join us?
Benefits & Compensation
Additional details about compensation and benefits eligibility for this role will be provided during the hiring process. All employees are provided competitive compensation, paid training, and employee discounts on our products and services. We offer a range of benefits packages based on employee eligibility, including:
Paid Vacation Time, Paid Sick Leave, Paid Holidays, Parental Leave.
Health, Dental, and Vision Insurance.
Employee Assistance Program.
401k with generous employer match.
Life Insurance.
Job Details
Data Scientist
Why this role matters
Youll architect, build, and operate the data infrastructure that powers analytics, machine learning, and operational reporting across the organization. This is a hands-on role for a data scientist who thrives at the intersection of engineering, modeling, and production-grade systems.
What youll do
• Design and evolve our lakehouse architecture (Delta Lake on AWS/Azure), including storage layout, compute strategy (Databricks, EMR, Synapse), and performance SLAs
• Build robust batch and streaming data pipelines using Apache Spark (PySpark/Scala), Databricks Workflows, Azure Data Factory, and event-driven integrations (Kinesis, Event Hubs, Kafka)
• Develop and maintain analytical and ML-ready data models, semantic layers, and dimensional schemas for BI and production use
• Implement observability and reliability features including custom Spark metrics, anomaly detection, logging, and automated data quality checks
• Optimize compute and storage performance through cluster tuning, caching, partitioning, and format selection, with measurable cost savings
• Enforce data governance policies including RBAC, row-level security, cataloging, lineage tracking, and compliance with GDPR, HIPAA/FHIR, and CCPA/CDPA
• Collaborate with analytics, product, and platform teams to define SLAs, manage incident response, and guide data contract best practices
• Mentor junior engineers and lead design reviews, setting standards for scalable, maintainable data systems
What you bring
• 8+ years of experience in data science or data engineering
• Expert-level Python and SQL; working knowledge of Scala/Java for Spark
• 35+ years of experience with Apache Spark and Databricks (including Delta Live Tables and performance tuning)
• Strong cloud experience in AWS (S3, EMR, Glue, Lambda, Kinesis) and/or Azure (ADLS Gen2, ADF, Event Hubs, Synapse)
• Experience with orchestration tools (Airflow, ADF) and transformation frameworks (dbt)
• Familiarity with data warehouses such as Snowflake, Redshift, or Databricks SQL
• Proven track record of cost and performance optimization in cloud data environments
• Solid foundation in data modeling, CI/CD, Docker/Linux, and Git
• Ability to translate business needs into scalable data products and lead projects end-to-end
Nice to have
• Experience with custom Spark listeners, low-latency streaming, or event-driven architectures
• Exposure to healthcare data pipelines (FHIR) and DLT troubleshooting
• Dashboarding experience with Power BI, Tableau, or Looker
• Familiarity with governance frameworks and MLOps (feature stores, model monitoring)
Our stack
Databricks, Spark (PySpark/Scala), Delta Lake, Airflow, ADF, dbt, AWS (S3/EMR/Glue/Kinesis), Azure (ADLS/Synapse/Event Hubs), Terraform, GitHub Actions, Docker, CloudWatch, REST
Success in 612 months looks like
Reliable, observable pipelines with <1% failure rate and clear SLAs 3050% faster time-to-insight for key analytics use cases Significant cost savings from optimized compute and storage High stakeholder trust in platform reliability and alerting systems
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobots policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy





