Associate Data Scientist (Data Engineering)
About this opportunity
Career Category
Information Systems
Job Description
Level: Associate (L3)
Role: Data Engineering Associate – MSO Ops
MIO OVERVIEW
The Marketing Science Operations (MSO) vertical at Amgen is the operational backbone that ensures accurate, timely, governed, and analytics ready marketing data across all digital channels. MSO enables the MIO (Marketing Investment & Optimization), and broader Decision Sciences teams to run self-service analytics, generate insights, and execute campaigns reliably.
MSO focuses on data readiness, governance, pipeline operations, vendor accountability, and automation with the goal of delivering clean, standardized, and insight-ready datasets.
Role Summary
The Associate – Data Engineering role is an entry‑level engineering position within the Marketing Science Operations (MSO) Data Engineering team. This role is ideal for candidates who are excited to build foundations in data pipelines, data quality, and scalable data products that power analytics and reporting.
The team will provide structured learning and on‑the‑job exposure. What matters most is curiosity, critical thinking, and a strong learning mindset.
LIVE | WHAT YOU WILL DO
As an MSO Data Engineering Associate, you will work under the guidance of Senior Associates and Managers to support data ingestion, transformation, and operational reliability.
You will:
Support building and maintaining data ingestion and transformation workflows (ETL/ELT) for marketing and media datasets
Assist with implementing data validations and QA checks (schema checks, null checks, duplication checks, count reconciliation) to ensure datasets are reliable and analytics‑ready
Help monitor pipeline runs and refresh schedules, investigate failures using logs, and escalate issues with clear context and evidence
Support development of reusable, governed datasets / data products that are consistent and easy for BI and analytics teams to consume
Contribute to documentation (data flow notes, runbooks, assumptions, source mapping) to improve operational stability and handoffs
Collaborate with cross‑functional partners (MSO BI, MSO Ops, Analytics teams, Vendors) to ensure inputs and outputs are aligned and dependable
Participate in continuous learning and improvement to strengthen engineering fundamentals, reliability practices, and delivery discipline
Analyze and understand the functional & non-functional requirements for Investment and Media Analytics function, and translate them into prototype, technical specifications.
BASIC QUALIFICATIONS
Bachelor’s (3 to 6 Yrs) or Master’s (2 to 4 Yrs) degree in Computer Science, Engineering, Information Systems, Data Science, or a related quantitative/technical field
Experience in data engineering, software engineering, analytics engineering, or data/tech role
Familiarity with data concepts (tables, schemas, joins, basic transformations)
Proficiency in SQL and data analysis and structured data
Strong problem‑solving and analytical reasoning skills
Effective written and verbal communication skills
Strong learning mindset and willingness to work with new tools, datasets, and business contexts
Preferred Qualifications
Exposure to Python programming for automation
Exposure to cloud/data tools such as Databricks, Spark/PySpark, Azure/AWS, ADF/Airflow
Experience with ETL/ELT pipelines, batch processing, or orchestration concepts
Familiarity with data quality checks, profiling, data governance, logging, monitoring, or incident triage practices
Exposure to DevSecOps practice
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Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 38 comparable Associate Data & Digital roles across 16 biopharma companies.
Salary context
13 of 38 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 38 comparable roles
+ 1 more countries
Seniority mix
38 of 38 peers have a known seniority level
Therapeutic area mix
0 of 38 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.