ZA - Data Scientist

Equal Experts; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Equal Experts, a consultancy delivering custom software solutions, seeks a data scientist to work on ML projects for blue-chip clients. You will join teams using modern agile practices to deliver iterative models and insights.

You'll apply Python and ML frameworks to build production-ready models, collaborate with data engineers and BI teams, and communicate findings to non-technical stakeholders while working with globally distributed teams.

Qualifications

• Strong analytical experience with data from multiple angles and business context.
• Significant experience building machine learning products.
• Proficiency in Python and ML frameworks such as Scikit-Learn or TensorFlow.
• Experience with SQL and data querying.
• Experience with Git and CI/CD tools.
• Ability to communicate with data engineering or BI teams and work in ML Ops.
• Excellent collaboration and communication for remote, distributed teams.

Responsibilities

• Use data to improve client decision-making and customer experience.
• Uncover insights from large data repositories and provide tactical guidance.
• Drive adoption of ML outputs across business partners to create value.
• Develop quantitative models using machine learning and data analysis.
• Collaborate in an agile environment to deliver ML increments.
• Ensure timely delivery across supporting teams to meet goals.
• Promote best practices and standards across client teams.

Skills

Analytical skills

Machine learning products

Python

SQL

Git & CI/CD

Team collaboration

Remote communication

Tools

Scikit-Learn

TensorFlow

Git

CI/CD tooling

SQL tooling

Job description

Equal Experts is an innovative consultancy specialising in the delivery of custom software solutions for blue-chip enterprise and public sector clients across a range of industry sectors. We work on important projects for our clients, deliver market-leading propositions across the digital, online and mobile channels, and are recognised for our leadership in the application of agile and lean delivery methods to assure delivery. We have offices in Australia, Germany, India, South Africa, the UK and the USA.

Our Data Scientists are highly skilled in driving valuable insights from data and creating machine learning algorithms to automate decision making and drive business value.

This role involves working in teams that use modern agile technical practices - including continuous integration and deployment and fast feedback loops - to deliver timely and pragmatic solutions, as well as helping others to do their jobs in a more effective way.

Responsibilities

• Use data to improve how our clients make decisions to enhance their customer experience, and drive loyalty.
• Uncover deep insight hidden in their vast repository of raw data, and provide tactical guidance on how to act on findings.
• Leverage their work in order to increase adoption across their business partners, to drive real business value.
• Develop quantitative models, leveraging machine learning and advanced data analysis techniques.
• Work effectively in an agile environment to deliver machine learning increments and ensure that requirements are met. Ensuring timely delivery across supporting/dependant teams in support of agreed goals.
• Drive adoption of best practices and standards, influencing across the client teams - most likely working with a wider team of data scientists and data engineers.
• Strong partnership with business and engineering teams.

Required Skills

• Strong analytical experience in looking at data from multiple angles using both technical and statistical skills and deep product/business understanding.
• Significant experience building machine learning products.
• Strong background in at least one programming language, Python preferable.
• Experience with ML Frameworks: Scikit-Learn, TensorFlow or similar.
• Experience with SQL.
• Working with source control (Git) and CI/CD tools.
• Understanding and being able to communicate with data engineering or business intelligence teams - Explaining data requirements and being able to participate or communicate in ML Ops environment.
• Strong collaboration and communication skills, including the ability to communicate effectively while working remotely with globally distributed teams.