Sme data science and analytics Job at HurixDigital

Senior Manager, Data Science and AI Technical Product Owner

Do you want to make a global impact on patient health? Do you thrive in a fast-p...

Location

Mexico; Costa Rica , Mexico City; San Jose

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
2-3 years of hands-on product management experience
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
Track record of managing cross-functional stakeholder groups and effecting change
Clearly articulates expectations, capabilities, and action plans
actively listens with others’ frame of reference in mind
appropriately shares information with team
favorably influences people without direct authority
Clearly articulates scope and deliverables of projects

Job Responsibility

Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs
Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
Partner with Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, AI reusable components)
Performance and resource optimization of managed pipelines and models
Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
Own vision and maintain a holistic and consistent roadmap for data science and AI products, including data science workflows, AI based software solutions, and AI components
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized data science and AI products
Drive adoption of products through user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)
Develop and maintain business-facing assets documentation/communication for data science and AI products (e.g., value proposition, catalog, and adoption metrics)

Fulltime

Data & Analytics Projects Lead

Our clients marketing team is seeking a strategic and analytical leader to serve...

Location

United States , Culver City; Cupertino; New York City; Seattle

Salary:

88.66 - 98.51 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

8+ years of experience in data science, analytics, martech, business or marketing strategy, or related functions, preferably within the technology, digital media or gaming industries
Demonstrated expertise in analytics, extracting & applying actionable insights from complex data sets, data governance and infrastructure maintenance in complex, multistakeholder environments
Strong foundation in research methodologies, experiment design, and extracting actionable insights from data
Experience leading cross-functional initiatives and managing ambiguity
Excellent communication skills, with the ability to synthesize complex information for audiences ranging from individual contributors to senior leadership
Comfort with both quantitative analysis and qualitative research
strong analytical mindset paired with strategic thinking
Experience with marketing measurement frameworks and modeled measurement including match market testing, A/B testing, Attribution & AAK, LTV modeling, causal inference
Strong project management skills with experience driving cross-functional workflows, managing roadmaps, and prioritization
Bachelor’s degree in Business, Economics, Marketing, Statistic, Applied Mathematics, Data Science or related field

Job Responsibility

Serve as SME of data & analytics on the marketing team, overseeing analytics project roadmap, data governance, and infrastructure development
Act as critical liaison between marketing and XF Measurement partners to drive analytics projects that inform marketing strategies and investment decisions
Define and own the strategic roadmap for data and analytics projects, ensuring alignment with marketing priorities and business goals across global and US teams
Partner closely with Data Science, Analytics & Martech teams to prioritize work, manage their capacity and drive cross-functional collaboration to produce insights from complex data sets
Independently conduct analyses, perform data exploration, and synthesize insights from various data sources to address immediate marketing questions and identify opportunities
Proactively source, refine, and prioritize analytics project briefs from diverse global marketing stakeholders, synthesizing varied needs into a cohesive, impactful plan
Champion our commitment to user privacy by partnering closely with Legal and Privacy teams to uphold best-in-class data governance standards for all marketing data
Lead the planning, briefing, and coordination of data infrastructure-related projects for marketing data, working with MarTech, Tools and Data Science partners to ensure our data ecosystem supports future needs

What we offer

W2, weekly pay, benefits, 401k w/ match
subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match

Fulltime

Financial Crimes Data Analytics & Intelligence Lead-Senior Vice President

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Gurugram

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Prior experience in AML domain, Mantas, or any other AML Transaction Monitoring systems will be preferred
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
Model execution and governance experience in any domain will be preferable
Proven track record of building and deploying generative models-based solutions in production environments

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms, design, develop and deploy generative AI based solutions for AML Transaction monitoring
Lead and manage the FCDAI team within AIM, recruit staff, lead professional development and build a high performing team
Act as Strategic Leader: Incumbents would be primarily responsible for supporting Business Execution activities for Independent Compliance Risk Management (ICRM) AML organization, implement analytical solutions
Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring
Lead as SME in the area of ML/AI/Gen AI
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy
Provide thought leadership for all data solutions that include designing, developing, and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations
Communicate complex analytical concepts and results to both technical and non-technical audiences
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines

Fulltime

Senior VP - Data Science & Modelling

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms and Generative AI
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred
Model execution and governance experience in any domain will be preferable
Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix
At least 8 years of people management experience

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms
Mitigate fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform
Analyze transaction data, understand fraud pattern, develop models with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact
Collaborate with model implementation team, responsible for model documentation, justifying questions from model risk management (MRM)
Lead and manage the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics, recruit staff, lead professional development and build an effective high performing team
Work as SME in the area of ML/Generative AI
Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers
Stay abreast of the latest advancements, trends and research in AI and ML space
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy

Fulltime

Senior VP - Data Science & Gen AI

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 12+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
Model execution and governance experience in any domain will be preferable
Proven track record of building and deploying generative models-based solutions in production environments particularly using RAG frameworks, few shot prompts, etc.
At least 8 years of people management experience

Job Responsibility

Lead as SME in the area of ML/AI/Gen AI
Lead a team of data scientists with primary responsibility of working on various tools and technologies for successful development and implementation of ML /AI/Gen AI models on different platforms
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensure 100% execution accuracy
Customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
Provide thought leadership for all data solution that includes designing, developing, and implementing Machine Learning/AI/Gen AI solutions
Communicate complex analytical concepts and results to both technical and non-technical audiences
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines
Continuously evaluate and improve model monitoring & governance processes
Oversee the end-to-end model development lifecycle from data collection and preprocessing to model building, validation, and deployment

Fulltime

Senior Lead Clinical Data Science Programmer

ICON plc is a world-leading healthcare intelligence and clinical research organi...

Location

Salary:

Not provided

iconplc

Expiration Date

Until further notice

Requirements

Degree in Data Science, Statistics, Computer Science, or a related field
advanced certifications in data programming or clinical data science are advantageous
Extensive experience in clinical data programming, with a strong background in statistical analysis, data management, and programming languages such as SAS, R, or Python
Proven ability to lead and manage programming teams, and develop data science solutions that support clinical research objectives
Strong analytical skills, with experience in designing and implementing complex data analysis and visualization techniques
Excellent communication and leadership skills, with the ability to collaborate effectively with cross-functional teams and present data insights to stakeholders.

Job Responsibility

Use technical, industrial, and interpersonal skills to ensure assigned project and business initiative programming deliverables are met on a team or portfolio level and within service and quality expectations
Provide technical oversight as required and mentoring and developing other members of the Clinical Data Science Programming team
Represent CDS programming team on cross-project or cross-department projects
Actively participate in internal meetings and provides constructive feedback to peers, team leads and managers, and functional management
Organise, create, and oversees the administration of training and mentoring for junior levels
Support knowledge sharing within the peer group through presentations and preparation of training materials
Development of materials for the bid defence process and client demonstrations
May act as a subject matter expert (SME) within a specific area of the team, and lead teams of other SMEs
Considered an expert in all areas of clinical data science programming for clinical trials.

What we offer

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead
Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being
Life assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.

Tech SME - Telecom and Network Technician

. Kaseya Administration • Utilize the Kaseya IT management platform for efficien...

Location

United States , Washington

Salary:

Not provided

Dash Technologies

Expiration Date

Until further notice

Requirements

Information Technology
Proven experience as a Technical SME or similar role, with IT asset management and network support
Extensive knowledge of IT asset management principles, including compliance, lifecycle management, and industry best practices as defined by IAITAM Strong analytical and problem-solving skills, with the ability to interpret data and provide actionable insights
Demonstrated leadership abilities, with a track record of successfully driving IT initiatives and projects
Bachelor’s degree in computer science, or a relevant field
equivalent work experience may be considered
Relevant certifications (e.g., IAITAM Certified Asset Management Professional, Microsoft Certified: Modern Desktop Administrator Associate)
Proven experience as a Technical SME or similar role, with a minimum of 10 years in IT asset management and network support
Excellent communication and interpersonal skills, capable of interacting effectively with stakeholders at all levels
Relevant certifications within the technical domain (e.g., IAITAM Certified Asset Management Professional, Microsoft Certified: Modern Desktop Administrator Associate) are strongly preferred

Job Responsibility

Utilize the Kaseya IT management platform for efficient endpoint monitoring
Configure and deploy Kaseya policies for endpoint devices, ensuring compliance with organizational IT standards
Monitor device health, apply updates, and address alerts generated by Kaseya
Troubleshoot and resolve Kaseya-related issues, escalating to the product owner when necessary
Manage integrations of Oomnitza with other IT systems (e.g., Kaseya, Intune, Absolute) to streamline asset tracking and reporting
Generate reports and dashboards on asset utilization, compliance, and lifecycle status for stakeholders
Administer and configure Microsoft Intune for endpoint management, ensuring proper device enrollment and compliance with company policies
Manage Intune policies for mobile device management (MDM) and mobile application management (MAM)
Deploy and update apps, security settings, and configurations via Intune
Troubleshoot device enrollment issues and provide backend support for Intune-related problems

Fulltime

Data Engineer/Maven SME

Barbaricum is seeking a Data Engineer to provide support an emerging capability ...

Location

United States , Omaha

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD Top Secret/SCI clearance required
8+ years of demonstrated experience in data or software engineering
4+ Years of experience with Maven Smart System/Palantir systems
Bachelor’s degree in computer science or a related field. A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics and/or other relevant experience
8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence

Job Responsibility

Design, implement, and operate data management systems for intelligence needs
Use Python and other scripting languages to automate data workflows
Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems
Work with data users to determine, create, and populate optimal data architectures, structures, and systems
and plan, design, and optimize data throughput and query performance
Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
Use expertise in Maven Smart System/Palantir Foundry suite of tools to create digital solutions as outlined above
Assist and advise the Government with developing, constructing, and maintaining data architectures
Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
Align data architecture, acquisition, and processes with intelligence and analytic requirements

Fulltime

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