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Bayesian Modeling Jobs in New York (NOW HIRING)

CyberCoders

Data Scientist

New York, NY · On-site

You love building mathematical and probabilistic models, computer science algorithms, and you have ... Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian ...

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Bayesian Modeling information

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.
What are popular job titles related to Bayesian Modeling jobs in New York? For Bayesian Modeling jobs in New York, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in New York look for? The top searched job categories for Bayesian Modeling jobs in New York are:
What cities in New York are hiring for Bayesian Modeling jobs? Cities in New York with the most Bayesian Modeling job openings:
Bayesian Modeling jobs near you
Infographic showing various Bayesian Modeling job openings in New York as of July 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution.

6 months Internship in Strategy & Data Science | New York

Ekimetrics

New York, NY

$2.8K/mo

Other

Posted 9 days ago

Job description

Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we've been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability.  
 
With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.  
 
We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world's most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA. 

Your Responsibilities 
As an intern at Ekimetrics, you will contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing and customer analytics, working closely with Senior Business Scientists and Managers.
- Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO)
- Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel
- Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics.
- Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams.
- Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations
- Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery
- Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible
- Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science
- Actively participate in office meetings, training sessions, and team initiatives
- Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment

Your Profile
Experience & Technical Skills
- 0-2 years of professional experience, including internships or graduate placements
- Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field
Basic knowledge of Python or R, and other analytics tools; willingness to learn more advanced techniques
- Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics
- Ability to work with and clean large datasets while maintaining attention to quality
- Nice-to-have experience with Databricks, Azure, or MMM exposure
- Proficient in Microsoft Office (Excel, PowerPoint, Word)
Soft Skills
- Analytical mindset, curiosity, and problem solving skills
- Ability to work autonomously while being a collaborative team member
- Strong communication skills to engage with clients and internal teams
- Interest in business challenges, marketing strategy, and results-oriented thinking
- Positive attitude, resilience, and sense of humor
$2,800 - $2,800 a month
What We Offer:
At Ekimetrics, interns receive a monthly stipend of $2,800/mo.

Career development and growth opportunities 
An emphasis on work-life balance
Annual seminars and retreats
Close knit team with friendly environment, bi-monthly team events and more
Work closely with senior analysts and managers to develop technical, analytical, and client-facing skills. 
The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses. 
Gain exposure to international clients, multiple industries, and projects with real business impact. 
Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative. 
Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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