• TikTok-focused content
• Wellness / fitness niche
• 4–5 posts per week
• Estimated monthly payout: $800–1000+
• Minimal editing required
• Weekly briefs + hooks provided
• Separate account created specifically for content
• Ongoing month-to-month collaboration opportunity

• You will work with 1-5 clients as the main technical voice for Databricks
• You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You will implement the technical strategy in the account, in close understanding of the strategy
• Build a movement of technical champions within the account
• Align technical strategies around Databricks solutions
• You will provide structured mentorship for other team members

• 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space
• 3+ years working in a pre sales capacity or supporting sales activity
• Technical in big data, data science and cloud
• An ability in data-driven business transformation, and driving change with data
• 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
• Maintain and extend production data systems to evolve with complex customer needs
• Production programming experience in Python, R, Scala or Java

• Comprehensive health coverage including medical, dental, and vision

• 401(k) Plan

• Equity awards

• Flexible time off

• Paid parental leave

• Family Planning

• Gym reimbursement

• Annual personal development fund

• Employee Assistance Program (EAP)

• You will work with 1-5 clients as the main technical voice for Databricks
• You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You will implement the technical strategy in the account, in close understanding of the strategy
• Build a movement of technical champions within the account
• Align technical strategies around Databricks solutions
• You will provide structured mentorship for other team members

• 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space
• 3+ years working in a pre sales capacity or supporting sales activity
• Technical in big data, data science and cloud
• An ability in data-driven business transformation, and driving change with data
• 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
• Maintain and extend production data systems to evolve with complex customer needs
• Production programming experience in Python, R, Scala or Java

• You will work with 1-5 clients as the main technical voice for Databricks
• You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You will implement the technical strategy in the account, in close understanding of the strategy
• Build a movement of technical champions within the account
• Align technical strategies around Databricks solutions
• You will provide structured mentorship for other team members

• 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space
• 3+ years working in a pre sales capacity or supporting sales activity
• Technical in big data, data science and cloud
• An ability in data-driven business transformation, and driving change with data
• 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
• Maintain and extend production data systems to evolve with complex customer needs
• Production programming experience in Python, R, Scala or Java

• Comprehensive health coverage including medical, dental, and vision

• 401(k) Plan

• Equity awards

• Flexible time off

• Paid parental leave

• Family Planning

• Gym reimbursement

• Annual personal development fund

• Employee Assistance Program (EAP)

The Role

What You’ll Own

• Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives.
• Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights.
• Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy.
• Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization.
• Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise.
• Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

• 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact.
• Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation.
• Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions.
• Experience with distributed data processing and training, real-time inference, and ML Ops frameworks
• Prior experience mentoring other data scientists or acting as a tech lead.
• Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems.
• Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD.
• Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock.
• Excellent communication skills and the ability to influence both technical and non-technical stakeholders.
• Strong business acumen with the ability to align technical solutions with company goals.

• An advanced degree in Computer Science, Statistics, or a related STEM field is preferred.
• Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability.
• Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment.

• Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives.
• Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights.
• Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy.
• Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization.
• Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise.
• Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

• 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact.
• Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation.
• Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions.
• Experience with distributed data processing and training, real-time inference, and ML Ops frameworks
• Prior experience mentoring other data scientists or acting as a tech lead.
• Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems.
• Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD.
• Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock.
• Excellent communication skills and the ability to influence both technical and non-technical stakeholders.
• Strong business acumen with the ability to align technical solutions with company goals.

• An advanced degree in Computer Science, Statistics, or a related STEM field is preferred.
• Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability.
• Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment.