Sr. Data Science Developer Job at Golden Eagle IT Technologies (Indore)

Sr. Data Science Developer

Role & Responsibilities:- Formulating, suggesting, and managing data-driven proj...

Location

India , Indore

Salary:

Not provided

Golden Eagle IT Technologies

Expiration Date

Until further notice

Requirements

Advanced degree in data science, statistics, computer science, or similar
Extensive experience as a data scientist
Proficiency in Python, Numpy, Panda, Scikit Learn, Sql Stream or Similar AWS Services
In-depth understanding of SQL
Competent in machine learning principles and techniques
Demonstrable history of devising and overseeing data-centred projects
Outstanding supervision and mentorship abilities
Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork
Compliance with prevailing ethical standards

Job Responsibility

Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests
Collating and cleaning data from various entities for later use by junior data scientists
Delegating tasks to Junior Data Scientists to realise the successful completion of projects
Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed
Selecting and employing advanced statistical procedures to obtain actionable insights
Cross-validating models to ensure their generalizability
Producing and disseminating non-technical reports that detail the successes and limitations of each project
Suggesting ways in which insights obtained might be used to inform business strategies
Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant

Sr. Data Associate, Data Management Science

The Senior Data Associate supports the Clinical Program and acts as the GDS DMS ...

Location

United States , San Rafael or Brisbane

Salary:

96000.00 - 144000.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

MA degree preferred, or BA/BS degree with a focus in statistics, computer science, life science, or related scientific discipline
2+ years of experience in clinical development, including technical experience within and outside of Data Management, with MS
5+ years with BS
Decision Making, Critical thinking and Problem Solving
Influence, Cross-Functional Collaboration and Organizational Awareness
Agility and Proactivity
Leadership
Communication
Strategic Thinking and Planning
Operations

Job Responsibility

Draft Case Report Form (eCRF) in a concise, self-explanatory, and user-friendly format
Draft Data Management Plan outlining key Data Management activities and deliverables
Collaborate with Clinical Programming and Data Quality Science and facilitate the completion of the Data Validation Plan
Conduct appropriate ongoing/periodic data validation activities
Draft data transfer specifications
Conduct SAE reconciliation activities
Maintain data transfer calendar requirements
Post listings/reports/profiles to study file locations
Reconcile external data
Maintain and track timeline, discrepancies, query resolution, and deliverable status

What we offer

company-sponsored medical, dental, vision, and life insurance plans
discretionary annual bonus
discretionary stock-based long-term incentives
paid time off

Market Data Sr Developer - Python and .Net - Assistant Vice President

The Fixed Income Technology team is a dynamic and fast-paced group responsible f...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

8+ years of professional experience in software development
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
Strong proficiency in JavaScript/TypeScript, HTML5, and CSS3
Hands-on experience with at least one modern front-end framework (e.g., React, Angular)
Strong proficiency in a server-side language C# (.NET Core) and Python (Intermediate knowledge)
Experience designing and building RESTful APIs and microservices
Solid experience with relational databases (PostgreSQL, SQL Server, Oracle) including schema design and query optimization
Experience with NoSQL databases (MongoDB, Redis, Cassandra)
Proficiency with version control systems, primarily Git
Experience with CI/CD pipelines and tools (Jenkins, Tekton, Harness)

Job Responsibility

Design, build, test, and deploy high-quality, scalable, and robust full-stack applications for Fixed Income trading, and risk management
Create intuitive, responsive, and high-performance user interfaces using modern web technologies (e.g., React, Angular) to visualize marketdata and workflows
Develop resilient server-side logic, microservices, and APIs to handle trade processing, data management, and integration
Work closely with traders, quants, and business analysts to gather requirements, understand complex financial workflows, and translate them into technical solutions
Participate in architectural design discussions and contribute to the overall vision and strategy for the technology platform
Write clean, maintainable, and well-documented code and participate in code reviews
Design and manage database schemas and write efficient queries for both SQL and NoSQL databases
Provide timely support for production applications, troubleshoot issues, and ensure system stability and performance
Actively participate in an Agile development environment

Fulltime

Sr. Manager, Data Science

The Senior Manager, Data Science is responsible for the design and validation of...

Location

Canada , North York

Salary:

120000.00 - 150000.00 CAD / Year

Randstad

Expiration Date

July 12, 2026

Requirements

Master’s or Doctorate degree in Statistics or Data Science or related field with strong statistical and computational skills
Accredited Statistician or Advanced Data Science certifications preferred
5 years or more in a similar role or a combination of experience and educational background
Expertise in theoretical and applied statistics, from sample design to modeling and forecasting
Solid knowledge of advanced analytics, data integration, natural language processing and AI-driven methodologies
Familiarity with Large Language Models and synthetic population frameworks considered an asset
Advanced knowledge of statistical packages and data science programming (e.g. Python, R)
Advanced analytical and critical thinking skills
Strong leadership and people management skills

Job Responsibility

Be responsible for the quality and statistical research rigor of data products including developing and reviewing weighting, fusion, calibration, attribution and other statistical processes as well as the accuracy and reliability of data outputs
Manage the Data Science team in order to provide recommendations for the use of statistical, Data Science and AI methodologies, the continuous improvement of current analytical data processes and procedures, and the expansion of value added to data products
Oversee the application and review of data mining, data integration and hybrid methodologies
Assess the integrity of statistical and machine learning models developed internally or built externally by business partners, guaranteeing the use of rigorous research statistical and data science standards
Develop and support alternative or new approaches including hybrid methodologies for the mining, management, production and usability of new data outputs, leveraging both data and information from a variety of internal and external sources
Produce, supervise and vet reports and recommendations based on data modelling, advanced analytics and simulations with business impact on our clients
Support automation projects throughout the organization by implementing solutions that drive efficiency
Work closely with Data Science partners, as well as internal Product, Technology and Operations staff

What we offer

Benefits package, group savings and retirement program
Health and Dental employer paid premiums
Hybrid Work: on-site office in Toronto and work from home as required per the role
4 weeks paid vacation
Education Reimbursement: funding up to $1000 per year
Continuous learning and development via Percipio
MentorMe program
Leadership Training offerings
Perkopolis: exclusive discounts on products and services

Fulltime

Sr. Manager, Data Science

As a Data Science Manager, you will lead the organization’s data science and AI ...

Location

United States , San Diego

Salary:

162000.00 - 242000.00 USD / Year

ResMed

Expiration Date

Until further notice

Requirements

8+ years of industry experience in Data Science, Machine Learning Engineering, or related fields
Master’s or PhD in Data Science, Machine Learning, Computer Science, Operations Research, Applied Statistics, Biomedical Informatics, or closely related disciplines
Proven experience managing and leading data science or AI teams, including mentoring junior members and developing team processes
Experience in productionization of AI models and collaboration with engineering for deployment and support
Excellent communication and stakeholder management skills
Proven ability to work across cross-functional teams and drive consensus on technical strategies and business priorities
Demonstrated expertise in model development, deployment, and performance evaluation for production-grade AI solutions
Strong foundation in probability, statistics, computer science, time series analysis, linear algebra, and discrete math
Extensive, practical experience applying advanced AI and machine learning methods—such as NLP, time-series analysis, computer vision, recommender systems, and reinforcement learning—using common algorithms, with a strong understanding of their real-world trade-offs in production settings
Extensive experience building and managing ETL pipelines and data workflows to handle large, complex structured and unstructured datasets, enabling their effective use in AI algorithm development

Job Responsibility

Stakeholder Engagement: Build strong partnerships with AI Product stakeholders, Product Management, Engineering, and business teams to identify business challenges, opportunities, and define requirements for AI solutions
AI Model Development Roadmap: Lead and continually refine the AI model development roadmap, ensuring alignment between technical strategy, business goals, and emerging opportunities
Risk Mitigation: Proactively identify and address AI-related risks, maintaining robust standards for model governance, compliance, and ethical deployment of AI solutions
Model Development Enablement: Anticipate and overcome challenges in data science projects by bridging gaps in technology, data, platforms, or skillsets to ensure teams have the resources and support needed for timely product delivery
Standardization of Experimentation: Establish and implement standardized processes for experimentation, including documentation, validation, and performance evaluation to ensure consistent, reproducible results
Technical Review and Guidance: Participate in code and model reviews, providing technical guidance to ensure model robustness and quality while identifying areas for improvement
Collaboration with Engineering: Partner with engineering teams to ensure smooth integration, scalability, and monitoring of AI models in production environments
Opportunity Analysis: Help stakeholders pinpoint key problem areas where AI solutions can deliver measurable impact, leveraging organizational data and advanced analytics
Team Leadership and Development: Mentor and empower a team of data scientists, fostering innovation and aligning technical skills with long-term AI strategy for impactful model delivery
Continuous Technical Strategization: Monitor industry and academic breakthroughs in AI to proactively set and evolve the technical roadmap, ensuring the team is prepared to deliver state-of-the-art solutions

What we offer

comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), tuition assistance, Flexible Time Off (FTO), 11 paid holidays plus 3 floating days, eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave

Fulltime

Sr. Data Engineer - Python Developer

Seeking a hands-on Senior Data Engineer (ETL / Python Developer) to support the ...

Location

United States , Springfield

Salary:

52.00 - 54.00 USD / Hour

Myticas Consulting

Expiration Date

Until further notice

Requirements

5+ years of data engineering experience with a focus on enterprise data warehousing
5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools
5+ years of Python development for data engineering and automation
3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)
Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)
Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field
Strong analytical, problem-solving, and troubleshooting skills

Job Responsibility

Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks
Build and optimize scalable data processing solutions using Python, Spark, and Databricks
Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
Develop robust data validation, reconciliation, and audit-traceable data pipelines
Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server
Participate in cloud migration and modernization initiatives within Azure-based architectures
Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
Follow data engineering best practices for performance, reliability, reusability, and security
Support production operations, incident resolution, and root-cause analysis
Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub

Fulltime

Sr. Revenue Management Data Science Analyst

The Revenue Science Analyst is responsible for developing and enhancing advanced...

Location

United States , Miami

Salary:

Not provided

Carnival Cruises

Expiration Date

Until further notice

Requirements

Minimum of 5+ years’ experience preferred within a large corporation practicing revenue management science/data science or academic research on revenue management models and systems
Master's degree in quantitative discipline such as Operations Research, Decision Science, Industrial Engineering, Applied Math or related field
Ability to apply operations research and other advanced methodologies, such as forecasting, statistics, econometric modeling, linear programming and other optimization algorithms, and other quantitative techniques to develop models and methods to maximize revenues
advanced programming
Experience with Operations Research and Statistics software/packages/tools
Highly skilled in SQL required
Exposure to SAS, Python, R, Tableau preferred

Job Responsibility

Develop and enhance advanced demand monitoring and customer behavior models to support revenue forecasting, executive reporting, and strategic decision-making
Provide consulting support and tools to improve analyst performance and revenue maximization
Ensure models reflect real-world behavior and business dynamics
Collaborate with product teams and leadership to validate model outputs and translate complex concepts into actionable insights
Develop tools/reports for analysts and management to monitor business trends, forecasts, and customer behavior
Consult/train analysts and management on use of science models and tools
Provide assistance to upper management by way of ad hoc analyses to answer a variety of business-related questions making data-driven decisions

What we offer

Health Benefits: Cost-effective medical, dental and vision plans, Employee Assistance Program and other mental health resources, company paid term life insurance and disability coverage
Financial Benefits: 401(k) plan that includes a company match, Employee Stock Purchase plan
Paid Time Off: Holidays, Vacation Time, Sick Time
Other Benefits: Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends
Personal and professional learning and development resources including tuition reimbursement
On-site Fitness center at our Miami campus

Fulltime

Sr. Data Engineer – Clinical Data Foundation

The Sr. Data Engineer is responsible for designing, building, maintaining, analy...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s /Bachelor’s degree with 9-12 years of experience in Computer Science, IT or related field
Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
Hands on experience with various Python/R packages for data analysis, feature engineering and machine learning model training
Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
Excellent problem-solving skills and the ability to work with large, complex datasets
Strong understanding of data governance frameworks, tools, and best practices.
Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

Job Responsibility

Design, develop, and maintain data solutions for data generation, collection, and processing
Be a key team member that assists in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions

Select Country

Sr. Data Science Developer

Job Responsibility

Requirements

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