Aimpoint Digital

👥 1-50 Consulting Analytics Advice💼 Private Company

Aimpoint Digital is a technology company specializing in mobile applications and web development. They leverage cutting-edge technologies and platforms, such as iPhone and Google Tag Manager, to deliver innovative solutions to their clients. Their team consists of talented professionals who are experts in generative AI and LLM, making them a leader in the field of machine learning engineering.

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🔥 Principal Cloud Infrastructure Engineer 2025- US

Posted 26 days ago

📍 United States

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience
Strong written and verbal communication skills
Experience managing stakeholders and collaborating with customers
Experience scoping cloud infrastructure cases, developing proposals, and presenting to key stakeholders
Experience building and maintaining cloud architecture at scale; primarily in AWS
Requirement: demonstrated administrative experience to guide best-in-class security architecture
Requirement: demonstrated experience designing resource monitoring processes (e.g. cost, performance)
Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)
Experience working with modern Data + AI platforms (Databricks, Snowflake, SageMaker)
Experience with cloud security and governance principles
Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)
Working understanding of relational databases, query languages and data modeling practices
7+ years designing, implementing and maintaining cloud architectures (primarily AWS, others a plus)
5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages

💡 Responsibilities

Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
Engage and lead multi-disciplinary teams to solve complex use-cases across a variety of industries
Manage high-priority accounts that can range from global leaders to emerging disruptors within our target verticals as they look to modernize their cloud Infrastructure environments, develop repeatable deployment frameworks, and operationalize their cloud environment for the application of artificial intelligence
Help establish and expand commercial offerings within our priority cloud data platform partnerships (namely AWS)
Assess existing cloud infrastructure and business processes and advise on best-in-class modern solutions
Design the cloud architecture, building data ingestion and storage protocols, and ensuring best-in-class integration with modern data platforms (e.g. Snowflake, Databricks)
Work with common AWS infrastructure stack like Kinesis, IoT Core, Glue, Kafka, SageMaker, Redshift and ensure the environment adheres to best-in-class security, governance and monitoring principles (e.g. AWS IAM, Artifact, CloudWatch, CloudTrail).

AWSDockerLeadershipProject ManagementPythonSQLBusiness AnalysisCloud ComputingJavaKafkaKubernetesSnowflakeData engineeringREST APIResource PlanningCommunication SkillsCI/CDDevOpsTerraformJSONScalaStakeholder managementData modelingSoftware EngineeringData management

Posted 26 days ago

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🔥 Lead Decision Scientist - Applied Optimization and Simulation 2025- UK

Posted about 1 month ago

📍 UK, US

🧭 Full-Time

🔍 Analytics consulting

🔧 Requirements

MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field.
Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo.
Practical experience with writing linear programming and mixed integer programming models and in open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS.
Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy.
Excellent communication and teamwork skills.
Strong analytical and problem-solving skills.
3+ years of practical data science experience.
3+ years of consulting experience (preferred).
Familiar with data visualization platforms such as PowerBI, Tableau or Sigma.
Knowledge of tools like Databricks, Snowflake, Dataiku, AWS, Sagemaker is a plus.
Oil and gas industry experience is a plus.

💡 Responsibilities

Become a trusted advisor working with clients to design end-to-end optimization and simulation solutions.
Write code in SQL, Python and R following software engineering best practices.
Lead small teams and work as an individual contributor throughout the data science lifecycle – from problem definition to model automation and deployment.
Support the development of client relationships and lead internal value-driving initiatives.

PythonSQLData AnalysisMachine LearningData visualization

Posted about 1 month ago

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🔥 Principal Decision Scientist- Applied Optimization and Simulation 2025- US

Posted about 1 month ago

📍 US, UK

🧭 Full-Time

🔍 Analytics consulting, decision science

🔧 Requirements

MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field.
Strong theoretical knowledge of optimization techniques.
Proficiency in Python or optimization platforms like AIMMS/AMPL/GAMS/Pyomo.
Experience with commercial solvers such as Gurobi, CPLEX, or XPRESS.
Familiarity with simulation tools such as Arena, Simio, Anylogic.
Experience with advanced data science techniques.
5+ years of practical data science experience.
5+ years of consulting experience preferred.
Strong analytical and problem-solving skills.
Familiarity with data visualization tools like PowerBI, Tableau.

💡 Responsibilities

Focus on enabling clients to maximize their data usage.
Build solutions that extract insights and train clients to manage these solutions.
Define business objectives with clients and develop project plans.
Research and apply knowledge to deliver optimized solutions.
Lead small and large teams throughout the data science lifecycle.
Provide technical leadership while also delivering specific components.
Manage client relationships and develop value-driven initiatives.

AWSPythonSQLMachine LearningData scienceData visualizationData modeling

Posted about 1 month ago

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🔥 Lead Decision Scientist- Applied Optimization and Simulation 2025- US

Posted about 1 month ago

📍 US, UK

🧭 Full-Time

🔍 Analytics consulting

🔧 Requirements

MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field.
Proficiency in a programming language such as Python and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo.
Practical experience with writing linear programming and mixed integer programming models.
Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy.
Excellent communication and teamwork skills.
Strong analytical and problem-solving skills.
3+ years of practical data science experience.
3+ years of consulting experience (preferred).
Familiar with data visualization platforms such as PowerBI, Tableau or Sigma.

💡 Responsibilities

Become a trusted advisor working with clients to design end-to-end optimization and simulation solutions.
Write code in SQL, Python and R following software engineering best practices.
Lead small teams and work independently over the entire data science lifecycle.
Support the development of client relationships and lead internal initiatives.

PythonSQLMachine Learning

Posted about 1 month ago

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🔥 Senior Data Engineer, Colombia 2024

Posted 4 months ago

📍 Colombia

🧭 Full-Time

🔍 Data engineering and analytics consultancy

🔧 Requirements

Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience.
3+ years working with relational databases and query languages.
3+ years building data pipelines in production across various data types.
3+ years data modeling experience.
3+ years writing clean code in Python, Scala, Java, or similar languages.
Experience with cloud data warehouses and ETL/ELT tools preferred.
DevOps and container technology experience preferred.
Consulting experience strongly preferred.

💡 Responsibilities

Become a trusted advisor working with clients, including data owners and C-level executives.
Work independently as part of a small team to solve complex data engineering use cases across various industries.
Design and develop the analytical layer, building cloud data warehouses, data lakes, and ETL/ELT pipelines.
Support deployment of data science and machine learning projects into production.
Work with modern data tools like Snowflake, Databricks, and Fivetran.

PythonSQLBusiness DevelopmentETLGitJavaSnowflakeData engineeringSparkCommunication SkillsCI/CDStakeholder managementData modeling

Posted 4 months ago

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