Mphasis · 13 hours ago
Data Scientist
Berkeley Heights, NJ
Full-time
Onsite
Mid Level
$120K/yr - $140K/yrMphasis is seeking a Data Scientist to model and analyze financial events and entity relationships using graph data. The role involves designing graph schemas, building analytical pipelines, and delivering insights such as risk signals and anomaly detection while collaborating with engineers and stakeholders.
Artificial Intelligence (AI)BlockchainCyber SecurityInformation TechnologyIT Management
Responsibilities
Design and evolve graph data models for financial events, entities, and relationships (accounts, payments, invoices, trades, counterparties, ownership, etc.)
Translate business questions into graph queries and features (traversals, communities, centrality, paths, temporal patterns)
Build data pipelines for ingestion, cleaning, labeling, and feature engineering, including entity resolution and relationship extraction where needed
Develop and validate statistical/ML models (risk scoring, anomaly detection, fraud patterns, forecasting, classification)
Create event-driven analytics using strong time semantics (event ordering, windows, causality assumptions, lifecycle states)
Partner with engineering to productionize models: batch + near-real-time scoring, monitoring, drift checks, and reproducible experiments
Communicate findings clearly via notebooks, dashboards, and concise writeups
Qualification
Required
Strong foundation in statistics + machine learning (evaluation, leakage prevention, bias checks, calibration, experimentation)
Hands-on experience with Graph DBs and graph concepts:
Schema/design: node/edge types, properties, constraints, indexing, cardinality, temporal modeling
Querying: Cypher (Neo4j) and/or Gremlin/SPARQL
Graph algorithms: PageRank, betweenness, connected components, community detection, similarity
Strong Python for DS (pandas, numpy, scikit-learn; comfort writing production-ready code)
Solid data engineering basics: SQL, ETL, data quality checks, versioning, reproducibility
Ability to explain technical results to non-technical stakeholders
Preferred
Financial data and event modeling: payments, reconciliation, ledgers, trades, positions, KYC/AML signals, counterparty networks
Understanding of financial events and workflows (authorization → capture → settlement, invoice → payment → reconciliation, trade lifecycle, etc.)
REA (Resources–Events–Agents) modeling and/or accounting event-sourcing concepts is a strong plus
Entity resolution / record linkage; graph-based identity resolution
NLP for event extraction from unstructured text (contracts, filings, invoices)
Experience with cloud data stacks (GCP/AWS), orchestration (Airflow/Prefect), and model serving
Knowledge of governance/security patterns for sensitive financial data
Company
Mphasis
Mphasis is an IT services company that offers blockchain, cyber security, product engineering, DevOps, and other services. It is a sub-organization of Blackstone Group.
Founded in 1998
10001+ employees
H1B Sponsorship
Mphasis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1685)
2024 (1453)
2023 (1350)
2022 (1639)
2021 (1415)
2020 (1251)
Funding
Current Stage
Public CompanyTotal Funding
$68.92MKey Investors
Blackstone Group
2020-04-02Post Ipo Equity· $68.92M
2016-04-05Acquired
2004-06-04IPO
Leadership Team
Nitin Rakesh
Chief Executive Officer and Managing Director
Aravind Viswanathan
Chief Financial Officer
Recent News
2026-01-11
2025-12-27
2025-12-26
Company data provided by crunchbase