Data Engineer/Data Scientist

Pittsburgh, PA, United States

Synechron

Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.

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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. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

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.

Additional Information

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Pittsburg, PA / Dallas, TX is $120k - $130k/year & benefits (see below).

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.
  • Graph Database & Big Data
  • 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.
  • Presales & Client Engagement
  • 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.

Cloud & MLOps

  • 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 Range: 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

S​YNECHRON’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. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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Tags: Architecture AWS Azure Big Data Blockchain CI/CD Computer Science Consulting Consulting firm Data pipelines Data quality Data Warehousing DevOps Docker Engineering ETL GCP Informatica Kubeflow Kubernetes Machine Learning MLFlow ML models MLOps Neo4j NiFi Pipelines Python Research SQL Talend Testing

Perks/benefits: Career development Competitive pay Equity / stock options Gear Health care Insurance Medical leave Parental leave

Region: North America
Country: United States

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