Data Scientist, Digital Finance Transformation — Associate

Alvarez & Marsal; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare plans

401(k) retirement savings

Paid time off

Parental leave

Holiday pay

Job summary

Alvarez & Marsal (A&M) is seeking an Associate or Senior Associate for the Digital Finance Transformation team within Private Equity Performance Improvement (PEPI) to modernize data environments and automate processes in portfolio companies. You will build analytics‑driven tools that drive measurable business impact, working with CFOs, Controllers, and FP&A leaders.

The role emphasizes strong Python, SQL, and data platform expertise, plus collaboration across finance and technology teams.

Qualifications

• 3–6 years of professional experience; consulting or professional services preferred.
• Advanced Python programming experience, including scikit‑learn, TensorFlow, PyTorch.
• Strong SQL skills and experience with Snowflake, Databricks, Azure Synapse, Fabric.
• Experience with ETL/orchestration tools listed (Dagster, Temporal, ADF, AWS Glue, Fivetran, Matillion).
• Ability to develop lightweight finance applications using Streamlit or Retool.
• Solid understanding of finance and accounting concepts, including forecasting and working‑capital management.

Responsibilities

• Join the Digital Finance Transformation team within PEPI to accelerate digital enablement in finance.
• Design, implement, and operationalize digital solutions that improve performance and transparency.
• Collaborate with CFOs, Controllers, and FP&A leaders to deliver analytics‑driven tools.

Skills

Python

SQL

Data platforms

Communication

Tools

Snowflake

Databricks

Azure Synapse

Microsoft Fabric

Dagster

Temporal

Azure Data Factory

AWS Glue

Fivetran

Matillion

Streamlit

Retool

Job description

Alvarez & Marsal (A&M) is seeking an Associate or Senior Associate for the Digital Finance Transformation team within Private Equity Performance Improvement (PEPI) to modernize data environments and automate processes in portfolio companies. You will build analytics‑driven tools that drive measurable business impact, working with CFOs, Controllers, and FP&A leaders.

The role emphasizes strong Python, SQL, and data platform expertise, plus collaboration across finance and technology teams.