Digital Technology Data Scientist Lead Job at Carex Consulting Group (Oshkosh)

Senior Data Scientist

Our Client is Europe’s leading health, sport, and leisure group. The organizatio...

Location

Ukraine; United Kingdom

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science
Experience with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API)
Advanced level of English

Job Responsibility

Lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem for iOS and Android
Ensure scalability, security, and a high-quality user experience in production-ready conversational solutions
Design and optimize conversational flows, personalization features, and integration with client documentation systems
Collaborate with client stakeholders (Product Owners, Digital Director, consultants) to align chatbot strategy with business goals
Mentor and guide junior data scientists within the team
Work closely with cross-functional colleagues (Backend, Mobile, QA, BA, DevOps) in an Agile/Kanban delivery model

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Senior Data Scientist

Location

India , Bengaluru

Salary:

Not provided

ADM

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. Master’s degree or Ph.D. is a plus
7+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes
Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development
Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc
Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark)
Strong understanding of both supervised and unsupervised learning models and techniques
Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs
Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value
Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment

Job Responsibility

Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives
Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes
Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc
Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions
Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration
Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems
Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems
Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks
Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact
Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives

FLEX Senior Director, Partner Campaign Reporting Strategy

As a FLEX Senior Director, Partner Campaign Reporting Strategy, you will play a ...

Location

United States , Bethesda, MD

Salary:

70.67 - 109.09 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Marketing, Business, Economics, Data Science, or a related field
Ten or more years of experience in digital media or other digital business with a strong analytical background and experience
Strong knowledge of media channels, marketing technology, marketing operations, audience segmentation, and customer data strategies
Strong understanding of measurement and analytics across digital marketing and media channels, including reporting frameworks and analytical models
Understanding of core measurement science concepts: experimentation and measurement frameworks (A/B testing, matched market, MMM, etc.), statistical sampling techniques and hypothesis testing, power analysis, synthetic control
Strong technical and analytical foundation, with experience in data-driven decision-making and marketing analytics
Proven success in leading people teams, as well as running sophisticated business processes in a fast-paced environment across multiple internal teams
Proven experience presenting analytical insights and answering all technical/data questions for both technical and non-technical stakeholders
Strong strategic and critical thinking skills
strong bias toward data-based decision-making with the ability to break down complex problems and formulate plans

Job Responsibility

Oversee the strategy and execution of partner-facing measurement and reporting initiatives, including defining key KPIs, designing reporting dashboards, and managing a team of Partner Campaign Reporting specialists
Translate campaign and performance data into clear insights and actionable recommendations for advertising partners
Partner effectively with the Sales & Partnerships team to ensure business needs around measurement and reporting are captured and reflected in standardized measurement and reporting templates
Work cross-functionally with internal teams to document and communicate capabilities, oversee and deliver customized reporting solutions, and prioritize analytics requests
Validate all measurement and campaign performance across Marriott’s advertisers
Collaborate with Data Scientists and Engineers to design and build new analytical models, measurement pipelines, and visualization dashboards and tools
Leverage a data-driven approach to evaluate optimization opportunities on reporting capabilities / tools

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

It Director – Data Programs

We are seeking a dedicated IT Director (Data Programs) with at least a PhD or ma...

Location

United States , Metairie

Salary:

Not provided

BOLLINGER MISSISSIPPI SHIPBUILDING LLC

Expiration Date

Until further notice

Requirements

Minimum PhD or master’s degree in data sciences, Computer Science, or Mathematics
10–15+ years of progressive experience in data management, analytics, or leadership
Strong knowledge of data governance, metadata management, and MDM
Hands-on experience with cloud data platforms (Azure, AWS, or Google Cloud)
Understanding of IoT, digital twins, and Industry 4.0 technologies
Excellent communication, change management, and cross-functional leadership skills
Strategic thinking and business acumen
Relationship and stakeholder management
Enterprise systems expertise
Change leadership and communication

Job Responsibility

Develop and execute a comprehensive enterprise data strategy aligned with business, IT, and engineering goals
Establish and oversee data governance frameworks, policies, and standards for quality, ownership, and compliance
Champion a data-driven culture, enabling leaders and engineers to make informed decisions based on reliable insights
Define and manage the company’s data architecture roadmap—including integration with ERP, PLM, MES, and CAD systems
Oversee data architecture design across ship design systems, IoT/SCADA, and production operations
Manage data lifecycle processes—collection, storage, cleansing, classification, and archival
Implement data lakes, data warehouses, and cloud-based analytics platforms for enterprise use
Ensure interoperability between engineering data (3D modeling, CAD/BIM), production data, and financial systems
Lead the data analytics and AI initiatives supporting predictive maintenance, supply chain optimization, and performance analytics
Oversee development of dashboards, KPIs, and data visualization tools for executives and project managers

What we offer

Competitive Pay
Comprehensive Benefits Package
Hybrid Schedule Available
Career Development
Cutting-Edge Projects
Positive Work Environment & Company Values

Technical Project Manager

Our client is a global jewelry manufacturer that is expanding their Data & Analy...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of project management experience (preferably in the retail or e-commerce domain)
Experience with Analytics, Data products, Data concepts, platform technologies, data governance, architecture, digital platforms, and analytics tools
Proven ability to manage multiple concurrent projects, maintain attention to detail, and adapt to changing priorities
Excellent stakeholder management, communication, and organisational skills
Demonstrated ability to lead and coordinate teams across functions

Job Responsibility

Lead end-to-end project delivery – from scoping and alignment to launch and post-launch support. This includes defining scope, estimates, staffing needs, detailed plans, dependencies, risks, milestones, and deliverables
Ensure cross-functional alignment, securing agreement across product teams, engineering, D&A specialists, and business stakeholders
Report progress to D&A leadership and portfolio governance forums, and contribute to broader portfolio governance processes
Support staffing activities, including facilitating the recruitment and onboarding of external consultants when required
Enable effective collaboration across multidisciplinary teams (architects, data/business analysts, engineers, data scientists, ML engineers, and MLOps specialists)
Contribute to requirements definition, providing hands-on support when needed and diving into details to ensure clarity and feasibility
Apply appropriate project management methodologies (Agile, Scrum, Waterfall, or hybrid), ensuring work is well structured and efficiently executed
Oversee quality assurance, including coordination of end-to-end testing, UAT, deliverable reviews, and adherence to accessibility, performance, and governance standards

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Technical Project Manager

Our client is a global jewelry manufacturer that is expanding their Data & Analy...

Location

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of project management experience (preferably in the retail or e-commerce domain)
Experience with Analytics, Data products, Data concepts, platform technologies, data governance, architecture, digital platforms, and analytics tools
Proven ability to manage multiple concurrent projects, maintain attention to detail, and adapt to changing priorities
Excellent stakeholder management, communication, and organisational skills
Demonstrated ability to lead and coordinate teams across functions

Job Responsibility

Lead end-to-end project delivery – from scoping and alignment to launch and post-launch support. This includes defining scope, estimates, staffing needs, detailed plans, dependencies, risks, milestones, and deliverables
Ensure cross-functional alignment, securing agreement across product teams, engineering, D&A specialists, and business stakeholders
Report progress to D&A leadership and portfolio governance forums, and contribute to broader portfolio governance processes
Support staffing activities, including facilitating the recruitment and onboarding of external consultants when required
Enable effective collaboration across multidisciplinary teams (architects, data/business analysts, engineers, data scientists, ML engineers, and MLOps specialists)
Contribute to requirements definition, providing hands-on support when needed and diving into details to ensure clarity and feasibility
Apply appropriate project management methodologies (Agile, Scrum, Waterfall, or hybrid), ensuring work is well structured and efficiently executed
Oversee quality assurance, including coordination of end-to-end testing, UAT, deliverable reviews, and adherence to accessibility, performance, and governance standards

What we offer

Paid Vacation
Sick Days
Floating Holidays
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Lab Systems & Data Lead

Join us in Pharmaceutical Product Development and Supply (PPDS) as a Lab Systems...

Location

Belgium , Beerse, Antwerp

Salary:

Not provided

myGwork - LGBTQ+ Business Community

Expiration Date

Until further notice

Requirements

A strong scientific background with a PhD or master's degree in science or a related field, combined with experience in a scientific environment
A minimum of 3 to 5 years of experience in digital and data solutions or similar roles, preferably within the pharmaceutical and life sciences sectors
Experience in building tailored lab informatics solutions (system development, system integration, data visualization tools, database design and management, etc.) in collaboration with laboratory scientists
Proficiency in programming languages such as Python and R
Familiarity with enterprise-level visualization tools (Tableau, Spotfire) and databases (SQL)
Understanding of lab systems such as ELN, LIMS, PAT, and AVEVA PI
Exposure to AI/ML technologies
A strong understanding of statistical and data science approaches applied to real-world problems
A proven ability to lead projects in a cross-functional environment and inspire team collaboration
Strong interpersonal and communication skills, with the ability to influence diverse audiences and connect with the right experts, both internal and external

Job Responsibility

Develop and implement the lab systems strategy aligned with the organization's digital transformation goals
Directly contribute to the integration and implementation of scientific data fabric within laboratory workflows
Work directly with scientists and engineers to understand workflow requirements, and then configure, deploy, and optimize tailored lab informatics solutions to meet scientific needs
Act as a point of contact between scientific teams and data & digital technology partners (DIPT) as well as IT, fostering strong relationships to facilitate seamless integration of technology into scientific work with respect to lab systems
Optimize the integration of existing lab informatics solutions (ELN, LIMS), ensure effective database management, and maximize the use of visualization tools (Tableau, Spotfire) for improved data accessibility and analysis
Investigate and leverage AI and machine learning technologies to enhance lab informatics systems and data analytics capabilities
Provide training and support for scientists and engineers on the effective use of existing digital applications and data tools
Communicate effectively with diverse stakeholders to influence and drive the adoption of lab systems and digital solutions
Represent the lab systems strategy in cross-functional meetings and provide updates on project progress, including representing the plant and lab systems community
Stay abreast of industry trends and advancements in lab informatics and data solutions to drive continuous improvement initiatives

Senior Data Scientist

Location

United States , Spring

Salary:

Not provided

INSPYR Solutions

Expiration Date

Until further notice

Requirements

Strong experience in machine learning and building predictive models
5 years of professional experience in an enterprise environment
Strong experience in using Databricks in a professional setting
2 to 3 years' work experience as a Senior Data Scientist and over 7 years' experience in Data Science, Information Systems, Computer Science, Engineering or other relevant field
Bachelor's degree in data science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience
Strong written and verbal communication skills
Experienced in working with cross-functional teams
Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML, and Dataiku
Skilled in developing scalable ML solutions
Advanced proficiency in Python, PySpark, SQL, and tools such as Jupyter, VS Code, and MLflow

Job Responsibility

Apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture
Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management
Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights
Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance
Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake
Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines
Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance
Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps
Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview
Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics

What we offer

Comprehensive medical benefits
Competitive pay, 401(k)
Retirement plan

Fulltime

Digital Technology Data Scientist Lead

Carex Consulting Group

Location:
United States , Oshkosh

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 30, 2026

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