Aimpoint DigitalAD

Lead Data Scientist, Machine Learning Engineer 2025- COL

Aimpoint Digital is a leading data and analytics advisory firm that empowers organizations to leverage data for informed decision-making and business success.

Aimpoint Digital

Employee count: 51-200

Colombia only

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling.

What you will do

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will:

  • Become a trusted advisor working with clients to design end-to-end analytical solutions
  • Work independently to solve complex data science use-cases across various industries
  • Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights
  • Write code in SQL, Python, and Spark following software engineering best practices
  • Collaborate with stakeholders and customers to ensure successful project delivery

Who we are looking for

We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits:

  • Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
  • Experience with building high quality Data Science models to solve a client's business problems
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • Ability to manage an individual workstream independently
  • 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.)
  • Ability to apply data science methodologies and principles to real life projects
  • Expertise in software engineering concepts and best practices
  • Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people
  • Willingness to travel.

Want to stand out?

  • Consulting Experience
  • Databricks Machine Learning Associate or Machine Learning Professional Certification.
  • Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc.
  • Experience with deep learning frameworks like TensorFlow or PyTorch.
  • Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing.
  • Experience with CI/CD pipelines (e.g., DevOps pipelines, Git actions).
  • Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles).
  • Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling.
  • Experience with generative AI and LLMs, such as LLamaIndex and LangChain
  • Understanding of MLOps or LLMOps.
  • Familiarity with Agile methodologies, preferably Scrum

We are actively seeking candidates for full-time, remote work within Colombia.

About the job

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Posted on

Job type

Full Time

Experience level

Senior
Manager

Location requirements

Hiring timezones

Colombia +/- 0 hours

About Aimpoint Digital

Learn more about Aimpoint Digital and their company culture.

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Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. Founded in 2017, the firm operates with the mission to empower organizations of all sizes to harness the power of data and analytics for informed decision-making. With a strong presence in both the US and the UK, Aimpoint Digital has built a reputation for being a trusted advisor to clients, helping them to derive significant value from their data-driven initiatives.

The company combines industry expertise with a bespoke approach to provide tailored solutions that address the unique challenges and goals of each client. Their services encompass a wide range of areas including data engineering and infrastructure, artificial intelligence, advanced analytics, and optimization. Aimpoint Digital prides itself on operating as a fiduciary partner to its clients, ensuring that every data and analytics investment leads to measurable business outcomes. The firm employs a team of experienced data scientists, engineers, and management consultants dedicated to maximizing ROI and fostering sustainable, data-driven growth for their clients.

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Aimpoint Digital hiring Lead Data Scientist, Machine Learning Engineer 2025- COL • Remote (Work from Home) | Himalayas