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

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 ...

Staff Scientist

Rochester, NY · On-site

$60K - $84K/yr

... data, education, experience, qualifications, expertise of the individual, and internal equity ... PhD in Biological sciences, molecular biology, cancer biology, biochemistry, or immunology ...

... members to bring world-class scientific discoveries to real-world applications. With the ... Several technical levels require different qualifications from BS to PhD. The desired degrees are ...

... members to bring world-class scientific discoveries to real-world applications. With the ... Several technical levels require different qualifications from BS to PhD. The desired degrees are ...

Contribute to related data processing and image reconstruction workflows when required. B) Image ... Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering ...

Contribute to related data processing and image reconstruction workflows when required. B) Image ... Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering ...

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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.
What are popular job titles related to Data Science Phd jobs in Rochester, NY? For Data Science Phd jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Science Phd jobs in Rochester, NY look for? The top searched job categories for Data Science Phd jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Science Phd jobs? Cities near Rochester, NY with the most Data Science Phd job openings:

Principal - Data Science & Architecture

Iberdrola

Rochester, NY • On-site

Other

Medical, Dental, Vision, Retirement

Posted 11 days ago


Job description

Job Title: Principal Data & Science Architecture

Location: Orange, CT; Rochester, NY, Binghamton, NY; Augusta, ME.

Number of Positions: 1

Work type: Office

The salary range for this position is dependent upon experience and location, ranging from:

  • CT: $148,160 - $185,200

  • NY / ME: $134,720 - $168,400

What We Offer:

  • Competitive benefits and growth opportunities

  • Generous performancebased bonuses

  • 12% 401(k) match

  • Comprehensive health, dental, and vision insurance

  • Tuition reimbursement

  • Professional development and clear careeradvancement pathways

For more information, please visit: Benefits - Avangrid

Job Summary

The Principal Data Scientist and Architect in the Data Science and Analytics group will execute enterprise-wide initiatives to drive performance improvements, data-driven decision-making, and customer-centric transformation across the Avangrid's Networks utility operating companies. This team member will focus on utilizing data science and analytic models and methodologies to derive insights from customer service and digital data. They will also lead the development of AI models and the development of underlying datasets to facilitate GenAI initiatives.

Responsibilities:

  • Lead the design and development of advanced ML/AI solutions (GenAI, LLMs, NLP, classical ML, causal inference) that directly support Avangrid Networks' customer experience priorities: CSAT improvement, payment and collections, and contact deflection.

  • Architect end-to-end ML systems on modern cloud platforms (Azure, Databricks), including feature stores, model registries, deployment pipelines, monitoring, and retraining workflows - establishing reference patterns for the broader Data Science & Analytics organization.

  • Lead GenAI and agentic AI initiatives for both customer-facing (self-service) and agent-assist applications, including RAG architectures, retrieval pipelines, evaluation frameworks, and responsible AI guardrails for the flagship Iberdrola initiatives.

  • Partner closely with Data Engineering to define data product requirements, drive customer-oriented data infrastructure build-out, and ensure analytics-ready datasets across SAP, CC&B, AMI, contact center, and digital platforms.

  • Collaborate closely with technical leads in Customer Service, Elec/Gas Operations, Digital Platforms, Regulatory, and IT to translate business needs into AI/ML solutions and embed them into production workflows.

  • Serve as the data domain expert ("Lead SME") for customer, billing, contact, and consumption datasets-including data lineage, quality, and appropriate analytical use.

  • Serve as technical lead and mentor for junior data scientists and analysts; review modeling approaches, code, and methodology; raise the technical bar across the team.

  • Support regulatory filings, audits, rate cases, and PSC/DPU inquiries by delivering accurate, defensible, data-driven analysis and written narratives.

  • Champion responsible AI practices, including model documentation, bias assessment, privacy compliance, and alignment with Avangrid's AI governance and Global AI Inventory standards.

Required Qualifications:

  • Minimum of 10 years of experience in data science, data analytics, or mathematical modeling. Experience performing data science or mathematical modeling research as part of graduate work (MS and PhD) can count towards experience minimum.

Technical & Functional Skills:

  • Demonstrated experience in the development or facilitation of AI models.

  • Technical experience with specific data intelligence tools including relational databases (SQL), automated pipelines and processes (Python), integrated dashboards and applications (PowerBI, Streamlit).

  • Advanced technical expertise with data science modeling techniques and approaches.

  • Understanding of customer journey mapping, operational KPIs, and performance frameworks (e.g., Balanced Scorecard).

  • Knowledge of regulatory and operational environments in energy/utilities and experience supporting rate case submissions and leading hearing discussions.

  • Ability to manage multiple priorities in a complex, matrixed organization.

  • Willingness to travel approximately 10% of the time across Avangrid locations.

Preferred Qualifications:

  • Minimum of 3 years of experience in a regulated utility preferred.

  • Experience with Generative AI and Large Language Models (LLMs)

#LI-NB1
#LI-office

Company:

AVANGRID SERVICE COMPANY

Mobility Information

Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.

At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.

Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.

Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management.

Job Posting End Date:

August-1-2026