Understands priors, MCMC sampling, posterior diagnostics. Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement.
Understands priors, MCMC sampling, posterior diagnostics. Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement.
Mcmc Llc information
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$11.30 - $21.85
12% of jobs
$21.85 - $32.41
3% of jobs
$42.70 is the 25th percentile. Wages below this are outliers.
$32.41 - $42.96
11% of jobs
$42.96 - $53.52
11% of jobs
The median wage is $61.43 / hr.
$53.52 - $64.07
19% of jobs
$64.07 - $74.63
18% of jobs
$78.59 is the 75th percentile. Wages above this are outliers.
$74.63 - $85.18
6% of jobs
$85.18 - $95.74
2% of jobs
$95.74 - $106.29
3% of jobs
$106.29 - $116.85
0% of jobs
$116.85 - $127.40
16% of jobs
$11
$68
$127
How much do mcmc llc jobs pay per hour?
What are the key skills and qualifications needed to thrive as a Case Manager at MCMC LLC, and why are they important?
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What are some common challenges faced by team members at MCMC LLC, and how does the company support its employees in overcoming them?
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What is the difference between Mcmc Llc vs Mcmc Engineer?
| Aspect | Mcmc Llc | Mcmc Engineer |
|---|---|---|
| Credentials | Typically requires industry-specific certifications or licenses | Requires engineering degree and relevant certifications |
| Work Environment | Corporate or project-based settings, often administrative | Design, analysis, and technical work in engineering settings |
| Industry Usage | Used as a company name or entity in various industries | Job title for engineering professionals in MCMC-related fields |
While Mcmc Llc refers to a company or entity, Mcmc Engineer is a job title for professionals working within or related to MCMC processes. The engineer role involves technical expertise, certifications, and engineering work, whereas Mcmc Llc is a corporate entity. Understanding this distinction helps clarify career paths and company structures in the industry.

Job description
Location: Long Island City, NY 11101
(Onsite 4 Days/week)
Type: Permanent Full Time
About the Role:
In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health.
Responsibilities include but are not limited to;
ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health.
Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.
Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training.
Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement.
Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs.
Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products.
Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving.
Requirements
- Master's or Ph.D. in a related field with a strong academic background.
- Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models.
- Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning.
- Proficiency in data manipulation, feature engineering, and model evaluation.
- Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn.
- Excellent communication skills and the ability to collaborate effectively within cross-functional teams.
- A passion for continuous learning and staying updated with the latest trends and technologies in data science.
- Strong problem-solving abilities and the capacity to translate complex data into actionable insights.
Required knowledge of:
- Python
- SQL
- Cloud Platforms (GCP, AWS, Azure)
- Data Warehouses (BigQuery, Snowflake, Redshift)
- LLMs / AI APIs
- Git / GitHub
Nice to have:
Data Transformation (dbt)
Semantic Layers (Cube, Looker, dbt Metrics)
TypeScript
Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics.
Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement.
Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures.
Nice to have - familiarity with adstock/saturation curves and budget optimization
Our interview process includes, but is not limited to the following:
About InstantServe
Sourced by ZipRecruiter
InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
Wayne, PA, US
Year founded
2016