Senior Data Scientist

Synechron; Pittsburgh (Allegheny County); On-site; USD 120,000 - 130,000; Full time

Benefits offered by this job

Laptop and mobile phone

Paid annual leave

Maternity & Paternity leave

Comprehensive insurance plan

Retirement savings plans

Higher education certification policy

Commuter benefits

Extensive training opportunities

Access to Udemy for Business

Coaching opportunities

Job summary

An established industry player is seeking a highly experienced Senior Data Scientist with AI expertise. This role focuses on designing and deploying AI/ML models, utilizing advanced technologies like Python and Neo4j to solve complex business challenges. You will play a pivotal role in presales discussions, collaborating with sales teams to present innovative AI-driven solutions. Join a dynamic environment where your contributions will significantly impact the financial services sector, and enjoy a competitive benefits package that supports your professional growth and work-life balance.

Qualifications

• 8+ years of experience in AI/ML with a strong background in Python and Neo4j.
• Proven skills in ETL testing, data validation, and quality assurance.

Responsibilities

• Design and deploy AI/ML models using Python and Neo4j.
• Optimize models for performance and scalability.
• Collaborate with sales to present AI solutions to clients.

Skills

Python

AI/ML algorithms

Graph databases

ETL testing

SQL

Analytical skills

Communication skills

Education

Bachelor’s degree in Computer Science

Degree in Data Science

Tools

Neo4j

AWS

Azure

GCP

Docker

Kubernetes

ETL tools (e.g., Informatica, Talend)

Job description

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This range is provided by Synechron. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $130,000.00/yr

We are hiring Sr. Java Fullstack Developer with React.

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.

We are seeking a highly experienced Senior Data Scientist with AI expertise who has a strong background in Neo4j and Python. This role requires a deep understanding of graph databases, AI/ML algorithms, and data engineering while also playing a key role in presales discussions to help drive business growth.

The Role

Responsibilities:

AI & Data Science

• Design, develop, and deploy AI/ML models leveraging Python and Neo4j (Graph Data Science Library).
• Apply advanced machine learning techniques to solve complex business problems.
• Work with graph-based machine learning for fraud detection, recommendation systems, and knowledge graphs.
• Optimize and fine-tune AI/ML models for scalability and performance.
• Build and maintain graph-based data models using Neo4j to analyze relationships and insights.
• Utilize Cypher query language to manipulate and extract insights from graph databases.
• Work with large-scale datasets and integrate Neo4j with cloud-based data pipelines.
• Partner with the sales and business development teams to present AI/ML solutions to clients.
• Lead technical discussions, proof of concepts (PoCs), and demos for potential clients.
• Translate business challenges into AI-driven solutions and provide strategic recommendations.
• Prepare technical proposals, solution architecture, and documentation to support presales activities.
• Deploy AI/ML models in cloud environments (AWS, Azure, or GCP).
• Utilize Kubernetes, Docker, and MLOps tools (MLflow, Kubeflow) for scalable deployments.
• Work with CI/CD pipelines for continuous integration and deployment of machine learning solutions.

Requirements:

You are:

• Experience needed 8+ Years
• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Proven experience in ETL testing, data validation, and quality assurance.
• Strong understanding of ETL concepts, data warehousing, and database management.
• Proficiency in SQL and experience with ETL tools (e.g., Informatica, Talend, Apache Nifi).
• Familiarity with automated testing tools and frameworks is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Detail-oriented with a strong focus on data quality and accuracy.

We can offer you:

• A highly competitive compensation and benefits package
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad
• Laptop and a mobile phone
• 10 days of paid annual leave (plus sick leave and national holidays)
• Maternity & Paternity leave plans
• A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
• Retirement savings plans
• A higher education certification policy
• Commuter benefits (varies by region)
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms
• A flat and approachable organization
• A truly diverse, fun-loving and global work culture

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Financial Services and Banking