Sr. Data Scientist I (hybrid)

Federated Hermes; Pittsburgh (Allegheny County); Hybrid; USD 110,000 - 165,000; Full time

Benefits offered by this job

Bonus programs

Parental leave

Volunteer day

Professional development

Job summary

Federated Hermes is seeking a Sr. Data Scientist I in Pittsburgh, PA, to drive end-to-end data science work across the Azure cloud ecosystem. You will develop models, prep data, and deploy AI-powered data products while collaborating with a cross-functional team.

You should bring 2–4 years of data science experience, strong Python and Spark skills, and proficiency with data visualization (Power BI). The role offers a hybrid in-office schedule in Pittsburgh and opportunities for career growth.

Qualifications

• Bachelor’s Degree in STEM or related field; Master’s preferred.
• 2–4 years of professional data science experience with data transformation and algorithm development.
• Proficient in Python, Spark/PySpark, SQL, and cloud data platforms like Databricks.
• Experience manipulating large datasets and varied database structures.
• Proficient in Power BI data visualization in professional settings.
• Experience with data products supporting model/algorithm development and productionizing.
• Experience with LLM/generative AI tooling and APIs (OpenAI, Claude, LangChain).
• Experience with Azure cloud ecosystem and Microsoft Foundry preferred.
• Experience deploying ML or generative AI pipelines; strong problem-solving skills.
• Analytical agility and familiarity with software engineering best practices.

Responsibilities

• Lead full data science lifecycle from strategy and data prep to algorithm development.
• Work across Azure Cloud tools, Databricks, and frontier models to build AI-powered data products.
• Communicate results clearly to non-technical stakeholders and drive adoption.

Skills

Python

Spark/PySpark

SQL

Databricks

Power BI

Pandas

Azure AI Services

LLM tooling

LangChain

Jupyter Notebooks

AI deployment

Education

Bachelor's Degree in STEM

Master's Degree in STEM preferred

Tools

Databricks

Jupyter Notebooks

Azure Foundry/Foundry

Job description

Federated Hermes Career Opportunity #9777

We have an exciting opportunity for a Sr. Data Scientist I, located in Pittsburgh, PA.

What You’ll Do

This is a full-stack data science position that works across the Azure Cloud ecosystem including Microsoft Foundry, Databricks, and frontier models like OpenAI and Claude. The Senior Data Scientist I will drive the full data science lifecycle, from strategy and data preparation through algorithm development (including generative AI and agentic approaches) to communicating results in a way anyone can understand. A proactive, creative, curious mindset and a drive to grow your own skills will go a long way.

The Expertise We’re Looking For

• Bachelor’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field; Master’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitate analytics field preferred
• Minimum 2–4 years of professional experience with data science concepts, data transformation, algorithm development, and computational tools (e.g., Python, Spark/PySpark, SQL, and cloud-based data platforms such as Databricks)
• Professional experience manipulating and analyzing various types of data using Python, Spark, or similar software
• Experience with varying database structures and working with large datasets
• Proficiency with developing data visualization technology and capabilities (i.e. Power BI) in a professional setting
• Experience with a variety of data products that complement model/algorithm development and productionizing (e.g., Pandas, Azure AI Services, Databricks, Jupyter Notebooks)
• Experience working with LLM/generative AI tooling and APIs (e.g., OpenAI, Anthropic Claude, LangChain) to build AI-powered data products
• Experience with data tools and advanced analytic capabilities in the Azure cloud ecosystem, including Microsoft Foundry is preferred
• Experience productionizing data products and/or deploying machine learning or generative AI pipelines is preferred
• Strong problem-solving skills including ability to debug, troubleshoot, and design solutions to complex data product issues
• Analytical agility including ability to quickly learn and apply new modeling, machine learning, and AI techniques as they rapidly evolve
• Familiarity with software engineering best practices (e.g., version control, code review) to support production-quality data science work

**The experience level of the candidate will determine level of position as Sr. Data Scientist I or Sr. Data Scientist II**

Our Investment in You

We believe our employees are our most important asset! Therefore, we offer benefits programs designed to help you and your family thrive, training programs to advance your professional development and opportunities for you to give back to the community. Our offerings include:

• A competitive total compensation package, including bonus programs designed to recognize and incentivize our employees to do their best every day
• Time off programs including paid vacation, parental leave and a volunteer day to help you stay healthy and connected to the things that are important
• Opportunities to expand your professional network within the firm and the community through participation in programs such as the Women in Investing Employee Resource Business Group and the University Ambassador Program.
• Location: Pittsburgh, PA (Hybrid in-office work schedule)
• Hours: 8:30 pm -5:00 pm

About Federated Hermes

At Federated Hermes, our goals are to help individuals invest and retire better, to help our clients achieve better risk-adjusted returns, and to contribute to the positive outcomes in the wider world. We pledge to always putting our clients first and to acting responsibly and transparently. Our commitment to active, responsible investment has enabled us to become a leading investment manager with $911.6 billion in assets under management; serving investors around the world.

We provide career opportunities that enable our employees to grow and meet their career aspirations while balancing the needs of their personal lives. We offer a collaborative environment that promotes doing things the right way and always with integrity, sharing ideas to drive positive change, and following through on our commitments. We are motivated by a higher purpose and always consider the impact of our work. We promote teamwork and foster a diverse, inclusive and respectful workplace where unique perspectives, ideas and experiences are recognized and appreciated for the contributions they bring.

For consideration, please visit our company website and reference job #9777

For additional information, please visit FederatedHermes.com

Federated Hermes, Inc. offers a competitive salary and benefits package along with a professional environment.

Only those candidates in whom we have an interest will be contacted.

The firm does not sponsor employment visas.

EOE – Including Disability / Vets

Federated Hermes is committed to providing equal employment opportunities in all aspects of employment to qualified individuals without regard to the following criteria: race, color, national origin, religion, sex, pregnancy, sexual orientation, gender identity or expression, mental or physical disability, age, familial or marital status, ancestry, military status, veteran status or genetic information as well as any other prohibited criteria under any local, state or federal law applicable to Federated Hermes. As part of the firm’s equal employment opportunity statement, Federated Hermes will also comply with applicable government contractor obligations, including ensuring veterans and qualified people with disabilities are considered for employment and promotional opportunities consistent with current federal, state and local laws and regulations. Federated Hermes will also make reasonable accommodations for the religious practices of beliefs of applicants and employees, as well as for mental health or physical disability needs.