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Data Science Phd Jobs in Rochester, NY (NOW HIRING)

MegazoneCloud US

Sr. Solutions Architect AI

Rochester, NY · On-site

... Data Science, or a related field (Master's or PhD preferred). • A startup mentality, a strategic approach to problem-solving, and a genuine thirst for knowledge. Preferred : • Relevant high-level ...

MegazoneCloud

Sr. Solutions Architect AI

Rochester, NY · On-site

$170K - $195K/yr

Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred). * A "Builder" Mindset: A startup mentality, a strategic approach to problem-solving, and a genuine ...

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Data Science Phd information

What can you do with a doctorate in data science?

A doctorate in data science prepares individuals for advanced roles such as data scientist, research scientist, or machine learning engineer, often involving complex data analysis, modeling, and algorithm development. It enables expertise in programming languages like Python or R, statistical methods, and data management tools, opening opportunities in academia, industry, and research institutions.

What are the key skills and qualifications needed to thrive as a Data Science PhD, and why are they important?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

Is PhD worth it for data science?

A PhD in data science can enhance expertise in advanced analytics, research, and specialized skills, which may lead to higher-level roles and increased salary potential. However, it also requires significant time and financial investment, and many data science positions value practical experience and skills in programming, machine learning, and data manipulation over formal degrees.

What is the salary of a PhD in data scientist?

A Data Science PhD typically earns between $100,000 and $150,000 annually, depending on experience, industry, and location. Advanced degrees and expertise in machine learning, statistical analysis, and programming tools like Python or R can lead to higher compensation, especially in tech and research sectors.

What are some common challenges faced by Data Science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

Is 40 too late for data science?

Data science PhDs can pursue careers at any age, including at 40 or older. Success depends on skills, experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

What is a Data Science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
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Data Science Phd jobs near you
Infographic showing various Data Science Phd job openings in Rochester, NY as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Sr. Solutions Architect AI

MegazoneCloud US

Rochester, NY • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
MegazoneCloud US is seeking a Director of AI & Databricks Solutions to lead their AI practice and serve as a technical authority for clients. The role focuses on strategy, design, and the ethical governance of AI, while leading technical discovery and guiding teams in executing a clear vision for AI solutions.
Responsibilities:
• Lead Technical Strategy & Design: Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks.
• Be the Client-Facing Expert: Lead discovery workshops to surface high-impact use cases, translate complex business requirements into architectural roadmaps, and present ROI models to executive stakeholders.
• Architect the Future: Design reference architectures on Databricks covering data pipelines, feature stores, model training, vector databases, and real-time inference.
• Own the Ecosystem: Drive strategic relationships with AWS, Azure, GCP, and Databricks, ensuring our offerings leverage the latest innovations in GenAI and MLOps.
• Set the Standard: Define best practices for responsible AI, data quality, and security, serving as the final point of escalation for complex technical challenges.
• Mentor and Multiply: Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force multiplier" through technical guidance and design reviews.
• Market Leadership: Represent Megazone Cloud at industry conferences, publish white papers, and position the firm as a premier leader in applied-AI innovation.
Qualifications:
Required:
• 8-12+ years of experience in data science, AI, and data ecosystems, with at least 5 years leading cross-functional technical teams.
• Deep, hands-on expertise with the Databricks stack and a proven track record of integrating Databricks into complex client environments.
• 2+ years of progressive experience in cloud architecture or solutions engineering across AWS, Azure, or GCP.
• Proven ability to build, manage, and mentor technical teams while managing multi-faceted projects.
• Exceptional skills in presenting to executive audiences and translating business needs into technical designs.
• Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s or PhD preferred).
• A startup mentality, a strategic approach to problem-solving, and a genuine thirst for knowledge.
Preferred:
• Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer).
• Experience in a Professional Services or consulting environment.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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