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Technology and Operations - Data Scientist III
Job Description
Pay rate range: $75 - $80/hr on W2 all inc.
What We Do/Project
We’re looking for a Senior Data Scientist with a strong foundation in predictive modeling, clustering, and statistical analysis. This role combines hands-on machine learning with close collaboration across business and product teams to build production-ready models that forecast content performance and reveal content insights. The ideal candidate is fluent in modern MLOps tools, proactively explores new approaches, and iterates based on user feedback to ensure solutions are interpretable, trusted, and adopted across the organization. Experience in the media/entertainment industry is a strong advantage, or other creative industries. The ideal candidate has experience building DS solutions to support, not replace, human judgment, and therefore has experience optimizing for results beyond just accuracy improvements, such as enriching insights and discussions.
Job Responsibilities / Typical Day in the Role
l Build and iterate on predictive models to project content performance
•Test different model types (e.G., gradient boosting, regression) and iterate based on accuracy and user interpretability needs
•Complete model experiments to validate hypotheses
•Proactively identify opportunities to improve performance and contribute to model development roadmap
Explore and segment content types
•Use clustering, principal component analysis, and other unsupervised methods to identify patterns in performance drivers and content types
•Experiment with GenAI to enrich data (e.G., augmenting metadata tagging or generating synthetic attributes)
Collaborate with business users to refine models and drive adoption
•Infuse models and model approach with users’domain expertise and decision-making workflows
•Present early model outputs in accessible ways to solicit feedback and identify gaps, overlooked variables, and implicit assumptions from users
•Interpret user feedback and adapt model design and underlying data to prioritize interpretability, usability, or explainability where required to build trust and drive adoption
Maintain and monitor models
•Work with ML Engineers to deploy models in production, including API endpoints, and establish ML pipeline
•Contribute to shared libraries and modeling best practices across the data science team
Partner with product and platform teams to deliver impact
•Contribute to design and implementation of new products where data science models will be embedded, built by agile product PODs
•Collaborate with data architects, data engineers, and broader platform team to facilitate technical discussions and enrich the data available for data science
Must Have Skills / Requirements
1) Proven experience as a Data Scientist
a. 4+ years of experience
2) Python and common ML library experience
a. 4+ years of experience;(e.G., scikit-learn, XGBoost, pandas).
3) Familiarity with AWS tools, especially SageMaker, or equivalent cloud-based ML environments
a. 4+ years of experience
Nice to Have Skills / Preferred Requirements
1) Experience in media & entertainment industry is a strong advantage but not required
2) SQL fluency is a plus
Soft Skills:
1) Curiosity and capability to work in an experimental stage of development to test hypotheses and adjust approaches to deliver the most value to business users
2) Experience building predictive models, especially with limited sample sizes
3) Understanding of clustering and dimensionality reduction techniques
4) Exposure to generative AI models (e.G., LLMs, diffusion models) and an interest in applying them to real-world data problems
5) Strong communication skills and the ability to translate data science work into business value as well as translate business user needs into data science
Technology Requirements:
1) Strong skills in Python and common ML libraries (e.G., scikit-learn, XGBoost, pandas).
2) Familiarity with AWS tools, especially SageMaker, or equivalent cloud-based ML environments
3) Experience building predictive models, especially with limited sample sizes
4) Understanding of clustering and dimensionality reduction techniques
5) Exposure to generative AI models (e.G., LLMs, diffusion models) and an interest in applying them to real-world data problems
Education / Certifications
1) None required
Interview Process / Next Steps
1) 1-2 rounds - Manager and VP
Additional Notes
•Sourcing in CA –Burbank.
•Hybrid –schedule flexible.
Employee Benefits:
At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits:
• Four options of medical Insurance
• Dental and Vision Insurance
• 401k Contributions
• Critical Illness Insurance
• Voluntary Permanent Life Insurance
• Accident Insurance
• Other Employee Perks
About LanceSoft
LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch.
EEO Employer
LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Want to read more about LanceSoft?
Click here to visit our website - www.Lancesoft.Com
What We Do/Project
We’re looking for a Senior Data Scientist with a strong foundation in predictive modeling, clustering, and statistical analysis. This role combines hands-on machine learning with close collaboration across business and product teams to build production-ready models that forecast content performance and reveal content insights. The ideal candidate is fluent in modern MLOps tools, proactively explores new approaches, and iterates based on user feedback to ensure solutions are interpretable, trusted, and adopted across the organization. Experience in the media/entertainment industry is a strong advantage, or other creative industries. The ideal candidate has experience building DS solutions to support, not replace, human judgment, and therefore has experience optimizing for results beyond just accuracy improvements, such as enriching insights and discussions.
Job Responsibilities / Typical Day in the Role
l Build and iterate on predictive models to project content performance
•Test different model types (e.G., gradient boosting, regression) and iterate based on accuracy and user interpretability needs
•Complete model experiments to validate hypotheses
•Proactively identify opportunities to improve performance and contribute to model development roadmap
Explore and segment content types
•Use clustering, principal component analysis, and other unsupervised methods to identify patterns in performance drivers and content types
•Experiment with GenAI to enrich data (e.G., augmenting metadata tagging or generating synthetic attributes)
Collaborate with business users to refine models and drive adoption
•Infuse models and model approach with users’domain expertise and decision-making workflows
•Present early model outputs in accessible ways to solicit feedback and identify gaps, overlooked variables, and implicit assumptions from users
•Interpret user feedback and adapt model design and underlying data to prioritize interpretability, usability, or explainability where required to build trust and drive adoption
Maintain and monitor models
•Work with ML Engineers to deploy models in production, including API endpoints, and establish ML pipeline
•Contribute to shared libraries and modeling best practices across the data science team
Partner with product and platform teams to deliver impact
•Contribute to design and implementation of new products where data science models will be embedded, built by agile product PODs
•Collaborate with data architects, data engineers, and broader platform team to facilitate technical discussions and enrich the data available for data science
Must Have Skills / Requirements
1) Proven experience as a Data Scientist
a. 4+ years of experience
2) Python and common ML library experience
a. 4+ years of experience;(e.G., scikit-learn, XGBoost, pandas).
3) Familiarity with AWS tools, especially SageMaker, or equivalent cloud-based ML environments
a. 4+ years of experience
Nice to Have Skills / Preferred Requirements
1) Experience in media & entertainment industry is a strong advantage but not required
2) SQL fluency is a plus
Soft Skills:
1) Curiosity and capability to work in an experimental stage of development to test hypotheses and adjust approaches to deliver the most value to business users
2) Experience building predictive models, especially with limited sample sizes
3) Understanding of clustering and dimensionality reduction techniques
4) Exposure to generative AI models (e.G., LLMs, diffusion models) and an interest in applying them to real-world data problems
5) Strong communication skills and the ability to translate data science work into business value as well as translate business user needs into data science
Technology Requirements:
1) Strong skills in Python and common ML libraries (e.G., scikit-learn, XGBoost, pandas).
2) Familiarity with AWS tools, especially SageMaker, or equivalent cloud-based ML environments
3) Experience building predictive models, especially with limited sample sizes
4) Understanding of clustering and dimensionality reduction techniques
5) Exposure to generative AI models (e.G., LLMs, diffusion models) and an interest in applying them to real-world data problems
Education / Certifications
1) None required
Interview Process / Next Steps
1) 1-2 rounds - Manager and VP
Additional Notes
•Sourcing in CA –Burbank.
•Hybrid –schedule flexible.
Employee Benefits:
At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits:
• Four options of medical Insurance
• Dental and Vision Insurance
• 401k Contributions
• Critical Illness Insurance
• Voluntary Permanent Life Insurance
• Accident Insurance
• Other Employee Perks
About LanceSoft
LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch.
EEO Employer
LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Want to read more about LanceSoft?
Click here to visit our website - www.Lancesoft.Com
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Login to save this search and get notified of similar positions.About Burbank, CA
Ready to kickstart your career in the vibrant hub of Burbank, California? Surround yourself with the glitz and glam of the entertainment industry while enjoying a plethora of job opportunities in this bustling city, home to major studios like Warner Bros. and Walt Disney. Explore the charming cafes, art galleries like the Hollywood Entertainment Museum, or catch a show at the historic Colony Theatre. With easy access to outdoor adventures at Griffith Park and a diverse culinary scene, Burbank offers a perfect blend of work and play. Join us in discovering your perfect career match in this dynamic and exciting region!
Staffing Leader of the Year Anju Abel
CEO, LanceSoft
LanceSoft is proud to announce that its Chief Executive Officer, Anju Abel, has been honored with the prestigious "Staffing Leader of the Year" award at the 2025 TIARA Staffing Awards US. The award recognizes her visionary leadership and significant contributions to improving staffing processes, employee engagement, and workforce outcomes.
Anju Abel's leadership has been instrumental in transforming LanceSoft's global staffing operations. Her focus on innovation, employee satisfaction, and client-centric delivery has led to higher retention rates, a motivated workforce, and enhanced operational efficiency.
"This award is a testament to the incredible team at LanceSoft and our unwavering commitment to redefining staffing solutions," said Anju Abel. "I'm honored to receive this recognition and proud of the impact we continue to make in the lives of our clients and talent worldwide."
The judging panel highlighted Anju's ability to consistently deliver outstanding client success stories, exceed expectations, and foster professional development within her team. Her active community involvement and dedication to advancing the staffing industry were also key factors in her selection.
TIARA Awards are known for celebrating excellence, innovation, and achievement in the talent acquisition sector, and this accolade places Anju among the top leaders reshaping the future of workforce solutions.