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Internship Bayesian Jobs in New York (NOW HIRING)

Regeneron Pharmaceuticals

Manager, Biostatistics

Tarrytown, NY · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

They will use innovative trial designs including but not limited to Bayesian, propensity scores and ... internship experience, * MS degree in statistics/biostatistics with >7 years' experience in the ...

Costello Medical

Senior Statistician

New York, NY · On-site

$95K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... complex Bayesian network meta-analysis using both standard and emerging methods. The Senior ... There may also be opportunities to line manage and mentor our Statistician Interns. Career ...

Costello Medical

Senior Statistician

New York, NY

$95K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... complex Bayesian network meta-analysis using both standard and emerging methods. The Senior ... There may also be opportunities to line manage and mentor our Statistician Interns. Career ...

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Internship Bayesian information

What is an internship in Bayesian analysis?

An Internship in Bayesian analysis is a temporary, practical position focused on applying Bayesian statistical methods to real-world problems. Interns typically work under the supervision of experienced data scientists or statisticians, assisting with research, data modeling, and computational analysis using Bayesian techniques. These internships are valuable for students or recent graduates looking to gain hands-on experience in probabilistic modeling, data analysis, and statistical inference. Such internships often require a strong mathematical background and familiarity with programming languages like Python or R.

What are some common challenges interns face when working on Bayesian analysis projects, and how can they overcome them?

Interns working on Bayesian analysis projects often encounter challenges such as understanding complex statistical principles, learning new software (like Stan or PyMC), and interpreting probabilistic results. To overcome these obstacles, it's helpful to actively seek guidance from mentors, participate in team discussions, and utilize available learning resources. Collaborating closely with experienced team members and regularly reviewing project code and results can accelerate learning and help interns gain confidence in applying Bayesian methods to real-world problems.

What are the key skills and qualifications needed to thrive as a Bayesian intern?

To thrive in a Bayesian Internship, you need a solid background in statistics, probability theory, and data analysis, typically supported by coursework or a degree in mathematics, statistics, or a related field. Familiarity with programming languages such as Python or R, and experience with statistical software and Bayesian modeling tools (e.g., Stan, PyMC) are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with research teams. These skills are essential for accurately applying Bayesian methods to real-world data and effectively communicating insights.

What is the difference between Internship Bayesian vs Data Analyst Intern?

AspectInternship BayesianData Analyst Intern
Required CredentialsRelevant coursework in Bayesian statistics, basic programming skillsStatistics, data analysis, programming knowledge
Work EnvironmentResearch-focused, collaborative teams in tech or research firmsBusiness or tech companies, data-driven projects
Employer & Industry UsageUsed in research, AI, machine learning sectorsCommon in finance, marketing, tech industries
Search & Comparison IntentUnderstanding roles involving Bayesian methodsExploring data analysis internship opportunities

Internship Bayesian typically involves applying Bayesian statistical methods in research or AI projects, requiring knowledge of Bayesian theory and programming. Data Analyst Internships focus on analyzing datasets, creating reports, and supporting business decisions. While both roles involve data skills, Internship Bayesian emphasizes probabilistic modeling, whereas Data Analyst Internships focus on data visualization and reporting.

What are the most commonly searched types of Bayesian jobs in New York?

The most popular types of Bayesian jobs in New York are:

What are popular job titles related to Internship Bayesian jobs in New York?

For Internship Bayesian jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Bayesian jobs in New York look for?

The top searched job categories for Internship Bayesian jobs in New York are:

What cities in New York are hiring for Internship Bayesian jobs?

Cities in New York with the most Internship Bayesian job openings:

Internship Bayesian jobs near you

6 months Internship in Strategy & Data Science | New York

Ekimetrics

New York, NY

$2.8K/mo

Internship

Re-posted 28 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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