Data Scientist Job at Randstad (Auckland CBD)

New

Data Scientist

Amazon Japan is seeking a Data Scientist to join our Cost-to-Serve Intelligence ...

Location

Japan , Tokyo

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of guiding and coaching a group of researchers experience
1+ years of working with or evaluating AI systems experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment
Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of machine learning concepts and their application to reasoning and problem-solving

Job Responsibility

Design and execute quantitative studies that explain why cost-to-serve moves — isolating root causes from noise and quantifying improvement opportunities
Bridge science to business decisions: translate statistical findings into investment recommendations, opportunity sizing, and initiative prioritization that leadership can act on
Partner cross-functionally with operations, finance, supply chain, and product teams to define research questions, validate findings, and ensure insights drive real-world action
Own the full research lifecycle — from problem framing and data exploration through methodology design, analysis, and stakeholder-ready deliverables
Apply a range of scientific methods (econometrics, statistical modeling, machine learning, AI-assisted analysis) matched to the problem at hand
Communicate findings effectively to both technical and non-technical audiences through structured documents, presentations, and data visualizations
Continuously improve the team's analytical toolkit — introducing new methods, automating repetitive analysis, and raising the bar on scientific rigor

Fulltime

New

Data Scientist

At myPOS, we’re all about helping businesses grow and get paid. We make payments...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

3–5 years of hands-on applied data science, machine learning or statistical modelling experience in a commercial setting, with models shipped and measured in production
Strong proficiency in Python for data science: pandas, numpy, scikit-learn, XGBoost / LightGBM, and at least one deep learning framework (PyTorch or TensorFlow)
Solid grounding in supervised and unsupervised learning: classification, regression, clustering, survival analysis, and time-series modelling
Demonstrable experience building at least one of: CLTV, churn, fraud detection, propensity, or uplift models in a production environment
Comfort working with large-scale structured and semi-structured data
proficient in SQL and cloud data warehouses - GCP and BigQuery strongly preferred
Familiarity with ML experiment tracking platforms (MLflow, Weights & Biases) and model serving patterns (REST APIs, batch inference pipelines)
Working knowledge of LLM APIs (OpenAI, Anthropic, etc.) and at least one agentic AI framework (LangChain, LlamaIndex, AutoGen, or similar)
Understanding of responsible AI: fairness assessment, model explainability methods (SHAP, LIME), bias detection and mitigation strategies
Clear communication — able to distil statistical findings into actionable insights for both technical peers and business stakeholders

Job Responsibility

Build and maintain ML models across the core portfolio: CLTV, churn prediction, propensity to buy, and Next Most Likely Product (NMLP)
Develop fraud detection models including transaction-level classifiers, merchant behaviour anomaly detectors, and new-account risk scorers
Contribute scored model outputs to the Next Best Action (NBA) decisioning layer that selects the optimal action for each merchant across Sales, Marketing, and in-product touchpoints
Support A/B experiments, uplift tests, and multi-armed bandit evaluations to measure the incremental impact of model-driven interventions
Design and implement end-to-end ML pipelines — from data ingestion and feature engineering through to model training, evaluation, and deployment
Monitor deployed models in production: detect performance degradation, data drift, and data quality issues
iterate and document changes proactively
Collaborate with business teams across Sales, Marketing, Risk, Operations, and Product to translate business problems into well-defined data science solutions
Run rigorous experiments and communicate findings clearly to both technical and non-technical stakeholders
Contribute to LLM-powered agentic workflows using tool-use patterns (RAG, function calling, memory) and frameworks such as LangChain or LlamaIndex

What we offer

Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full “Luxury” package health insurance including dental care and optical glasses
Meal vouchers of 102.26 EUR per month
Fully covered Multisport card
Fully covered public transport pass for Sofia
Free coffee, snacks and drinks at the office
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning

Fulltime

New

Data Scientist

Create scalable data pipelines using Glue, Eventbridge, DynamoDB to process life...

Location

United States , Greensboro

Salary:

Not provided

Wise Equation Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, computer information systems, information technology, relevant engineering (computer engineering, software engineering, electronic engineering or related) or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

Job Responsibility

Create scalable data pipelines using Glue, Eventbridge, DynamoDB to process life insurance data and support data modeling for policy records, claims, actuarial datasets
Write and optimize ETL and reconciliation workflows using PySpark and Python to transform raw policyholder data into analytics-ready datasets for reporting and decision-making
Build and implement event-driven data solutions on AWS, leveraging SQS, SNS, and API integrations to enable real-time processing of insurance transactions and policy events
Implement snowflake data masking and row level security policies to ensure sensitive policyholder and beneficiary data are protected
Create Splunk data pipelines and PowerBI dashboards to ingest, index and analyze structured and unstructured life insurance data including policy transactions, claims events enabling real-time operational monitoring
Build flow zones and manifest file generator in Dataiku to develop data processing logic that meets life insurance business and regulatory requirements
Write and optimize ETL workflows using data-oriented programming languages such as PySpark and Python to extract and transform raw policyholder data and support machine learning model development by preparing high-quality, analytics-ready datasets for reporting and decision-making
Write SQL queries and stored procedures in Amazon redshift to support life insurance reporting, premium reconciliation, and claim analytics and implement optimized data modeling techniques for analytical workloads
Develop end-to-end data workflows in Dataiku, integrating multiple sources to extract and analyze life insurance data such as policy administration systems, claims databases and actuarial feeds for business insights
Write and optimize Delta Lake table implementations in Databricks to support efficient storage, ACID transactions, and time travel queries on life insurance datasets

Fulltime

New

Data Scientist

Proven to Perform. From the edges of space to the bottoms of ocean, our material...

Location

United States , Cudahy

Salary:

Not provided

ATI

Expiration Date

Until further notice

Requirements

B.S. degree in computer science, engineering with a strong statistical and programming background
Experience in deep learning, predictive modeling, data mining, and time series analysis
Knowledge of image segmentation, generative models, convolutional neural networks
Experience in applied machine learning

Job Responsibility

Map data from multiple sources into new structures
Work with business subject matter experts to determine best solutions
Serve as a subject matter expert in the capabilities of Data Science
Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques
Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data

Fulltime

New

Data Scientist

Altamira Technologies has a long and successful history providing innovative sol...

Location

United States , McLean

Salary:

140000.00 - 230000.00 USD / Year

Altamira Technologies

Expiration Date

Until further notice

Requirements

Knowledge of Defense intelligence all source analysis, Operations research / systems engineering and analysis Intelligence community databases and tools, non-Defense intelligence analysis, structured analytic techniques, and text exploitation and analytics
Expertise in advanced tools such as: Mixed Mathematical Capabilities: R Software w/extensive variety of modules (plugins - statistics, modeling, visualization), Text Analytics - IN-SPIRE, Jigsaw, Text/Data - Net Owl, Gate, and Mathematics Modeling - MATLAB
A working knowledge with day-to-day data analysis tools are also necessary, Spreadsheet / Data - Excel s/Power plugins, Tableau, and Document Development-Word, MS Publisher
An understanding and experience with visual and geospatial analysis is an added benefit for the senior data scientist: Geospatial Analysis - OpenGeo, ArcGIS, GeoTime, Clavin, Visual Analytics - Vortek (Starlight), Visualization - Gephi, Word cloud tools, and Graphics Production - PowerPoint, Adobe Creative Suite, Photoshop, HTML5
5-10 years of experience or an advanced degree MS / Ph.D.
Three years of experience in the intelligence community
TS/SCI with FSP clearance

Job Responsibility

Responsible for overall data science and data characterization technologies and will report to the on-site program manager
Assess technology development and evaluate its operational usefulness and eventually demonstrate the technology capability through test and evaluation
Results must be documented in writing and communicated both verbally and through multi-media methods to senior management

Fulltime

New

Data Scientist

As an Data Scientist part of the Data Insights & AI team, you will design, devel...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

3+ years of experience developing in Python and SQL / Machine Learning (ML) solutions
Hands-on GenAI experience (LLMs, RAG, Function Calling, MCP, Prompt Eng.)
Strong Python and SQL coding skills
Solid ML and statistical modeling knowledge and understanding
Experience delivering production-ready solutions consuming APIs, deployments and endpoints
Analytical mindset, strong ownership and ability to work effectively within a team
Experience with large-scale distributed data processing (PySpark)
Experience with Databricks and Azure Services
Applied experience in ML fields like Regression, Classification, Time Series, etc
Experience with GenAI frameworks and principles (e.g. RAG, LangChain, etc)

Job Responsibility

Dive into large and diverse datasets to identify patterns and opportunities
Apply statistical and AI-driven techniques to tackle business challenges
Collaborate with business stakeholders to understand challenges and identify high impact Analytical use cases
Translate business problems to data solutions and communicate findings efficiently to non technical audiences
Assist with the whole Data Product Lifecycle, from Proof of Concept to production
Team up with other Data Scientists, Data Engineers, AI and GenAI Engineers in an Agile way of work

What we offer

Bonus incentives
IT Equipment
Free product quota
Work with iconic brands
Supportive team
Wellbeing program
Work from home

Fulltime

New

Data Scientist

We are looking for a Data Scientist to support AI and machine learning initiativ...

Location

United States , Palo Alto

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

PhD or master's degree in statistics, informatics, data science, or a closely related quantitative field
For candidates with a master's degree, at least 4 years of relevant experience applying data science methods to business, research, or healthcare problems
Demonstrated experience building, evaluating, and implementing machine learning models in applied environments
Proficiency in Python or R, with the ability to process and analyze large datasets using SQL and cloud technologies
Strong grounding in statistics, machine learning, and artificial intelligence concepts at the graduate level
Experience collaborating with clinicians, researchers, or other cross-functional subject matter experts on complex analytical initiatives
Solid communication, prioritization, and problem-solving skills, with the ability to manage multiple deliverables effectively

Job Responsibility

Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes
Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases
Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities
Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls
Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms
Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments
Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Data Scientist

Barclays is seeking a highly skilled and experienced Data Scientist, AVP, to sup...

Location

United States , New York

Salary:

125000.00 - 175000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Coding in Python, PySpark, R, SQL or other scripting languages
Understanding of Machine learning and Math statistical modelling
Considerable academic background in a quantitative/empirical field (math, statistics, economics, computer science, physics, chemistry, etc)

Job Responsibility

Support advanced analytics, develop predictive models, and drive data-driven decision-making across the organization
Design, develop, and deploy machine learning and statistical models to solve highly detailed business problems
Perform exploratory data evaluation to identify patterns, trends, and insights and build predictive and prescriptive analytics solutions to optimize business outcomes
Evaluate model performance and continuously improve model accuracy and scalability
Mentor junior team members and partner with business stakeholders to translate data insights into actionable strategies

Fulltime

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