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Probabilistic Programming Bayesian Jobs in Lakeview, NY

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Probabilistic Programming Bayesian information

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$144.5K

$263.7K

$323.8K

How much do probabilistic programming bayesian jobs pay per year?

As of Aug 11, 2026, the average yearly pay for probabilistic programming bayesian in Lakeview, NY is $263,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $245,200.00 and $303,600.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by professionals working in probabilistic programming with a Bayesian focus, and how can they be addressed?

Professionals working in Probabilistic Programming with a Bayesian focus often encounter challenges related to model complexity, computational efficiency, and communicating results to non-technical stakeholders. Building accurate Bayesian models requires careful selection of priors and an understanding of underlying data distributions, which can be demanding without robust domain expertise. Additionally, computational demands can be high, especially for large datasets or complex hierarchical models, making efficient sampling and approximation methods essential. Collaborating closely with domain experts and leveraging modern probabilistic programming frameworks can help address these challenges and ensure practical, interpretable results.

What is probabilistic programming in the context of Bayesian statistics?

Probabilistic programming in the context of Bayesian statistics refers to writing computer programs that use probability distributions and Bayesian inference to model uncertainty and learn from data. These programs allow users to define complex probabilistic models using code, making it easier to specify, fit, and analyze Bayesian models. Probabilistic programming languages, such as Stan, PyMC, or Edward, provide tools to automate inference, enabling practitioners to focus on modeling rather than mathematical derivations. This approach is widely used in fields like machine learning, data science, and scientific research to handle uncertainty and make predictions.

What is the difference between Probabilistic Programming Bayesian vs Data Scientist?

AspectProbabilistic Programming BayesianData Scientist
Required credentialsBackground in statistics, probability, programmingStatistics, computer science, or related degree
Work environmentResearch, modeling, algorithm developmentData analysis, visualization, business insights
Industry usageAI, machine learning, research projectsBusiness, finance, tech, healthcare

Probabilistic Programming Bayesian focuses on developing models using Bayesian methods and probabilistic programming languages, often in research or AI development. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require statistical knowledge, Bayesian programmers specialize in probabilistic modeling, whereas Data Scientists apply a broader set of data analysis techniques.

What are the key skills and qualifications needed to thrive as a probabilistic programming Bayesian specialist?

To thrive as a Probabilistic Programming Bayesian specialist, you need a strong background in statistics, probability theory, and Bayesian inference, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with probabilistic programming languages (such as Stan, PyMC, or TensorFlow Probability) and familiarity with statistical modeling software are also essential. Analytical thinking, problem-solving, and effective communication skills help translate complex models into actionable insights and collaborate with interdisciplinary teams. These skills and qualities are crucial for developing robust, interpretable models that inform decision-making in research and industry applications.
What cities near Lakeview, NY are hiring for Probabilistic Programming Bayesian jobs? Cities near Lakeview, NY with the most Probabilistic Programming Bayesian job openings:

Sr. Data Scientist - Marketing Science & Offerings

Socket.dev

Manhattan, NY • On-site

$90 - $132/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


Job description

Sr. Data Scientist - Marketing Science & Offerings

Ovative Group | Posted Mar 9 | Full-time | New York | Unknown

About Ovative Group

Ovative Group is an independent, full‑funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself.

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

About The Role

As the Senior Data Scientist, you will play a key role in:

  • Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success.
  • Partnering with driven, solution‑minded experts, business leaders, analysts, and scientists at Ovative in engaging with clients, and defining approaches and road maps for solutions to client problems.
  • Technical mentoring of junior data scientists, guiding their algorithmic, testing methodological approaches, and reviewing their code.
  • Working with technology leaders, product owners and engineers to convert novel solutions developed to scalable new services and product offerings at Ovative.
  • Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.
Responsibilities of a Sr. Data Scientist
  • Lead technical contributor in a high-performance data science & advanced analytics team, responsible for your team’s productivity, operational excellence, and business impact.
  • Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models.
  • Partner closely with Engineering and Product Management to scale your team’s innovative measurement solutions into product and service offerings.
  • Provide mentoring, training, and other opportunities for effective technical development of data scientists.
  • Assist with technical parts of business development as needed, including RFP response, sales and conference presentations using AI assistance where applicable.
  • Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support.
Requirements
  • 5+ years of hands‑on experience in data science, analytics, or a related quantitative field, with a strong track record of delivering business value through technical innovation.
  • Proven success as a technical contributor in high-performing data science teams, preferably within product‑centric or consulting environments.
  • Very Important: Ability to quickly learn and execute.
  • Expertise in advanced statistical modeling and machine learning, with hands‑on experience preferred in techniques such as:
  • Media Mix Modeling (MMM)
  • Incrementality Testing / Causal Inference
  • Attribution Modeling
  • Customer Analytics: Lifetime Value (CLV) Modeling, Segmentation
  • Generative AI Data Science
  • Proficiency in the following preferred programming and data environments:
  • Languages: SQL, and/or R or Python.
  • Tools: Git, Docker, MLOps, POSIT IDEs, cloud notebooks, Frameworks like Shiny, Streamlit, etc.
  • Data platforms: BigQuery, Databricks.
  • Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization is a plus.
  • Experience with Bayesian/Probabilistic modeling frameworks (e.g., PyMC, Stan) is a plus.
  • Strong business acumen, especially within digital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.
  • Excellent communicator: able to lead conversations with technical and non-technical stakeholders, including senior client partners and internal executives.
  • Demonstrated leadership and mentorship skills; able to think independently, guide junior team members and influence cross‑functional teams.
  • Bonus: Familiarity with Generative AI applications in marketing analytics (e.g., using LLMs for data summarization, content tagging, or creative testing insights).
Pay Transparency

For our Sr. Data Scientist positions, our compensation ranges from $90,000 to $132,000, which is inclusive of a 20% bonus.

Benefits Of Working At Ovative Group

We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work.

Culture

Culture matters and we’ve been recognized as a Top Workplace for ten years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We’re open in communication and floor plan. We’re flat – our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.

Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment—for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.

Compensation and Insurance

We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix.

We’re rewarded fairly and when the company performs well, we all benefit.

Tangible amenities we enjoy
  • Access to all office spaces in MSP, NYC, and CHI.
  • Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams.
  • Generous paid vacation policy.
  • 401k match program.
  • Top‑notch health insurance options, inclusive of same sex partners.
  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs.
  • Monthly stipend for your mobile phone and data plan.
  • Sabbatical program.
  • Charitable giving via our time and a financial match program.
  • Shenanigan’s Day.

Working at Ovative won’t be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it’ll be the most rewarding job you’ll ever have. If you think you can make us better, we want to hear from you!

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