Sme data science and analytics Job at HurixDigital

Senior Data Scientist

The Senior Medical Data Scientist will play a vital role in supporting Global Me...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 2+ year(s) of experience in data analytics or data science
OR, Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science
OR, Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 7+ years of experience in data analytics or data science
Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification
Demonstrated hands-on expertise in data science, statistical modeling, machine learning, advanced predictive modeling, NLP, or related fields, with successful delivery of end-to-end solutions
Advanced programming in SQL and Python (R a plus)
comfort working in Databricks or similar environments
Strong storytelling and presentation skills
ability to translate data into clear, compelling insights

Job Responsibility

Design and build high-impact projects that address complex medical questions across therapeutic areas, applying advanced data science methods (predictive modeling, NLP, LLMs, machine learning, causal inference)
Conduct end-to-end data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms
Drive the design, application, and evaluation of test-and-learn approaches — including causal inference methods, advanced A/B testing, and pilots, with accountability for methodological rigor and actionable insights
Partner with business leaders and stakeholders to define problem statements, set project scope, and design and conduct medical data science projects such as MSL engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities
Design and optimize scalable data pipelines in collaboration with engineering teams, ensuring reproducibility, robustness, and compliance in deployment workflows
Translate complex model outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams
Serve as a technical SME (subject matter expert) in data science, providing thought influencing designing and methodology choices across the MDnA team
Passion to continuously learn, evaluate and introduce emerging technologies (e.g., Generative AI, LLMs, advanced A/B testing frameworks) and act as a motivational peer to strengthen Amgen’s data science toolbox
Maintain best practices in reproducibility, documentation, version control, and model governance across teams

Data Analytics Senior Analyst

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-de...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-12 years experience using tools for statistical modeling of large data sets
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Hands-on experience with build and test of ETL (Ab Initio) and API test automation frameworks
Hands-on experience with complex coding on automation frameworks to simplify test automation
Experience working on GAN based synthetic data solutions
Unix, SQL and Shell Scripting experience is a must have
Proficiency in PySpark
Strong understanding of Microservice architecture
Expertise in content validation from XML, databases, and flat files using scripts

Job Responsibility

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows
Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function
Assumes informal/formal leadership role through coaching and training of new recruits
Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions

Fulltime

Data Analytics Lead Analyst

The Data Analytics Lead Analyst is a strategic professional who stays abreast of...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12-18 years experience using codes for statistical modeling of large data sets
Hands-on experience with build and test of ETL (Ab Initio) and API test automation frameworks
Hands-on experience with complex coding on automation frameworks to simplify test automation
Prior experience with Synthetic data solutions (Ex: Synthetic Data Vault and other LLM models)
Unix, SQL and Shell Scripting experience is a must have
Proficiency in PySpark
Strong understanding of Microservice architecture
Expertise in content validation from XML, databases, and flat files using scripts
SME in Data Analysis, Database testing, Messaging queues
Experience with tools like SOAP UI, Postman or Swagger

Job Responsibility

Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Data Engineer SME

AnaVation is seeking a highly skilled Senior-level Data Engineer to join our tea...

Location

United States , Chantilly

Salary:

Not provided

AnaVation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, or related field
Minimum of 10 years of experience in data engineering or related field
Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI)
Experience with SAFe Agile framework
Strong understanding of forensic and investigative data requirements
Demonstrated experience designing and implementing data solutions in secure government environments
Advanced proficiency with Python for data processing, automation and ETL workflow orchestration
SQL (MySQL, PostgreSQL, Microsoft SQL) and query optimization
Elasticsearch or Opensearch (design, scaling, query optimization, cluster management)
Data pipeline technologies (Apache Nifi, Cribl)

Job Responsibility

Design and implement complex data pipelines and ETL processes to support cyber investigative capabilities across multi-classification domains
Architect and develop ETL workflows for highly sensitive data in classified environments
Support IC Data Services requirements by integrating various intelligence data sources and systems
Develop and maintain data analytics solutions for desktop and web-based visual analytic applications
Establish applications that produce manageable, actionable intelligence from streams of structured and semi-structured data
Design strategies for enterprise database systems and set standards for operations, programming, and security
Construct and optimize large relational databases across multi-enclave environments (Unclassified, Secret, and Top Secret)
Tune performance of large-scale data workflows, ensuring cost efficiency, low latency, and high availability
Design and manage Elasticsearch/Opensearch clusters for fast search, indexing, and retrieval of large-scale datasets
Integrate new systems with existing warehouse structures and refine system performance and functionality

What we offer

Generous cost sharing for medical insurance for the employee and dependents
100% company paid dental insurance for employees and dependents
100% company paid long-term and short term disability insurance
100% company paid vision insurance for employees and dependents
401k plan with generous match and 100% immediate vesting
Competitive Pay
Generous paid leave and holiday package
Tuition and training reimbursement
Life and AD&D Insurance

Fulltime

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

In-Business QA, Business Risk Credit Analyst

The role involves quality assurance relating to Wholesale Credit Risk processes,...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Relevant work experience in Risk & Control function focusing on Wholesale Credit Risk
Hands on experience of Data Science / Data Analytics
Deep understanding of control framework in the banks
Experience in BCBS 239 is highly desirable
Python is essential
Tableau and SQL are added advantages
Consistently demonstrates clear and concise written and verbal communication skills
Effective organizational influencing skills required
Excellent problem-solving skills
Ability to see the big picture with high attention to critical details

Job Responsibility

Support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance
Provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns through quarterly reports published to ICM senior management
Ability to query and clean complex datasets from multiple sources to funnel into advanced statistical analysis
Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution
Perform design and operational effectiveness assessments of various business processes within Wholesale Credit Risk
Participate and independently lead Quality Assurance Reviews (QAR) covering data-relevant aspects
Read policies, standards, and procedures to understand key pillars, responsibilities, associated risks, and expected controls for the business process(es) in scope
Lead data discovery to identify data lineage and controls for the defined business process in scope
Evaluate findings identified through the Quality Assurance process, determine materiality, and partner with business teams to drive sustainable remediation
Collaborate within IBQA teams and with QA Directors and provide them with analytics insights

Fulltime

Principal Rwd Strategy Lead

We are currently looking to recruit an experienced Principal RWD Strategy Lead t...

Location

Multiple , Remote

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

8+ years of industry experience (CRO/Pharma/Data Vendor)
Strong data science/data analytics experience
Strong understanding of the clinical research process and business, medicines and medical device development, healthcare market, and related sectors
Fluent English with a fluency in Chinese an advantage also
Demonstrated ability to apply scientific or real-world data solutions to address clinical or commercial questions and needs
Experienced in budgets and cost evaluation of RWD based solutions
Strong understanding of project management principles
Advanced degree in biomedical informatics, public health, data science, life sciences, or related field required
Excellent oral and written communication skills
Strong customer focus

Job Responsibility

Lead the development and deployment of a RWD strategy for client opportunities and proposals as well as awarded work
Serve as relationship manager and primary point of contact for data providers
Participate in establishment of governance structure for data relationship building
Identify ways in which the partnership can be strengthened
Ensure data partners' needs/expectations are being met
Work with Procurement/LRM to establish/manage MSAs
Handle complex issues related to data applications and/or analysis requirements and how to remedy them
Serve as a SME to the business on the use of the data in clinical research
Identify, assess, and recommend appropriate options to expand access to RWD
Develop working knowledge of RW data sets assigned to strategy leader, keep specifications up-to-date in the data catalog

Lead Data Scientist

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-16 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Advanced degree in Computer Science, Data Science, Machine Learning, or a related field
Proven experience in a senior AIML or data science role, preferably within the financial sector
In-depth knowledge of regulatory compliance, particularly Consent Orders and Article V

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Lead the development and deployment of AIML models to ensure compliance with Consent Orders and Article V regulations
Collaborate with compliance officers, legal teams, and other stakeholders to translate regulatory requirements into technical specifications

Fulltime

Sme data science and analytics

HurixDigital

Location:
United States

Category:
Education

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 03, 2026

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