About the role

Aplyr's Quick Take

This role is for a mid-level Data Scientist/Automation Specialist focused on building and deploying data engineering solutions. You'll be designing data pipelines, implementing cloud architectures, and collaborating with various teams to drive data-driven initiatives. It's a mix of technical leadership and hands-on development.

Good fit

Ideal candidates have 5-8 years of experience in data science or engineering, with strong skills in Python and cloud platforms. A collaborative mindset and the ability to mentor others will help you thrive here.

Worth noting

The role emphasizes both technical leadership and cross-functional collaboration, which may appeal to those looking to step into a more strategic position. However, the spec is vague on day-to-day responsibilities, so expect some ambiguity.

ERM is seeking a Technical Consultant Level 3 – Data Scientist / Automation Specialist to lead the development and deployment of advanced data engineering and automation solutions. This mid-level role blends technical leadership, cloud architecture expertise, and cross-functional collaboration to support ERM’s global initiatives.

Responsibilities

Technical Leadership

- Design and implement scalable data pipelines and ETL processes using Apache Airflow, PySpark, and Databricks.

- Lead development of reusable, version-controlled codebases using Git.

- Apply advanced NLP, OCR, and image processing techniques to extract insights from unstructured data.

- Architect and deploy solutions on Azure, AWS, and GCP using services like Azure Data Factory, S3, Lambda, and BigQuery.

- Build large-scale data processing solutions using Hadoop, Spark, or Databricks.

- Monitor and maintain statistical models and data engineering workflows.

Project & Collaboration

- Collaborate with business domain experts to identify opportunities for data-driven solutions.

- Document model designs, algorithm choices, and technical dependencies.

- Participate in cross-functional teams and contribute to strategic initiatives.

- Seek opportunities to add value beyond assigned tasks and mentor junior staff.

Requirements

- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.

- 5–8 years of experience in data science, automation, or data engineering.

- Advanced proficiency in Python, Git, and cloud platforms (Azure, AWS, GCP).

- Strong experience with NLP, OCR, machine learning, and image processing.

- Expertise in data pipeline architecture and cloud deployment.

- Excellent problem-solving, communication, and leadership skills.

Skills & Tags

python data

Aplyr's read

ERM is a global leader in environmental consulting, attracting professionals committed to sustainability, risk management, and social impact across diverse industries.
Synthesized from recent postings & public sources

What's promising

•ERM has a strong global presence, offering opportunities for international collaboration.
•The company is deeply involved in sustainability and climate change initiatives.
•ERM provides diverse roles, from technical consulting to social media management.

What to watch

•The consulting industry can be high-pressure, with demanding client expectations.
•Limited public information about ERM's work-life balance policies.
•Potential challenges in navigating a large, complex organizational structure.

Why ERM

•ERM specializes in comprehensive environmental, health, and safety consulting.
•The company integrates social impact assessments into its services.
•ERM offers specialized roles in emerging fields like nature finance and biodiversity consulting.

Aplyr’s read is generated by AI from public sources. Was it useful?