ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Operations Data Scientist
Company: Aspect Software
Location: United States
Description:
Job Title: Operations Data Scientist

Location: US, Remote

About Aspect Software: Aspect Software develops world-class Workforce Engagement Management software that empowers businesses to achieve operational excellence. We are committed to fostering a collaborative and dynamic work environment where cutting-edge technology and creative problem-solving converge. Join us as we shape the future of intelligent systems.

Position Overview:

We’re looking for an experienced Operations Data Scientist to join our team and play a key role in measuring, analyzing, and promote the performance of our people and the effectiveness of our operations . This role will partner closely with cross-functional teams to design operational KPIs, support data-driven decision-making, and apply advanced analytics including ML/AI techniques to uncover insights.




Key Responsibilities:

Partner with leadership to define KPIs and design and automate tracking.
Deliver advanced analytics and predictive modeling across operations data.
Build and maintain dashboards to track operational effectiveness.
Conduct in-depth data analysis to identify trends and improvement areas.
Collaborate with teams to define and refine key performance measures.
Provide analytical support to business stakeholders.
Run machine learning and AI models to generate operational insights.
Translate complex data into actionable recommendations.
Promote data quality and governance across operations datasets.
Evaluate and report on operational effectiveness using robust data methods.
Act as a consultant to teams in using data to improve decision making.




Ideal Qualifications:

Advanced degree in Analytics, Statistics, Data Science, or related field.
3+ years experience in data science roles, preferably with operations focus.
Strong background in data manipulation, modeling, and visualization.
Experience working with people data or operations teams.
Solid understanding of machine learning techniques and their business applications.
Experience with Snowflake a plus




Why Join Us?

Work on impactful and challenging projects that make a difference
Be part of a collaborative and inclusive culture
Enjoy competitive compensation and benefits
Access professional development and growth opportunities
Join a team passionate about innovation and excellence

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Job Title: Junior Data Scientist
Company: Tech Consulting
Location: Florida, United States
Description:
Are you excited about taking your technical career to new heights with a full-time, W-2 role as a consultant in a dynamic and rapidly growing company? If you are, let's get in touch – your interest is the first step to starting the conversation.




What This Role Requires:




1-4 years of data analyst/ML/AI engineering work experience after your degree.
Must have experience with both Python programming & SQL language developer.
Should demonstrate experience developing end-to-end solutions.
Demonstrated SQL experience.
Additional experience with at least one: AWS, Azure or Databricks is preferred.
Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.




To Qualify:




You should be willing to relocate anywhere in the US on a client project-to-project basis, as this is an onsite, in-office position.
Strong English communication skills, both written and verbal.
Bachelor’s Degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field. Additional relevant Master’s degree is highly desirable for this role.
What’s In It For YOU?
Gain valuable, career-enhancing experience working with our Fortune 1,000 clients.
Receive relocation support for training and project assignments, as required.
Enjoy comprehensive W2 employee benefits.
Access full coverage medical, dental, and vision insurance.
Qualify for 401K eligibility after one year of employment.
Benefit from basic life/AD&D and dependent disability (short/long term) coverage.




Who Are We?




We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare. Our clientele includes industry giants like Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonald's, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, and Charles Schwab, among many others. As a consultant, joining our team means you'll also have the opportunity to work with these renowned and leading companies and gain valuable, career-accelerating experience.




Company Highlights:




Our Specialization: Providing IT consulting services.
Experience: Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.
Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? If so, apply today! We look forward to hearing from you.

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Job Title: AI/ML Engineer
Company: Ringside Talent
Location: Chicago, IL
Description:
We are looking for an AI/ML Engineer to work remotely for our Chicago client. The ideal candidate aligns with the responsibilities and qualifications outlined below.




Responsibilities:

Design, develop, and implement machine learning models and algorithms.
Analyze and interpret complex data sets to identify patterns and insights.
Collaborate with software engineers to integrate AI solutions into existing systems.
Conduct research to stay updated with the latest AI/ML trends and technologies.
Optimize and fine-tune models for performance and scalability.
Document and present findings to stakeholders.




Qualifications:

Proven experience in AI/ML development and implementation.
Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Experience with Palantir is preferred.

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Job Title: Data Scientist
Company: The Arena
Location: Washington DC-Baltimore Area
Description:
About the Role




We’re looking for a Data Scientist to join a fast-paced team supporting a high-impact AI Task Force. This role sits at the intersection of applied machine learning, national security, and real-world mission outcomes. If you're someone who loves turning messy, complex data into clarity—and building models that actually get used—this is the role for you.

You’ll work side-by-side with engineers, analysts, and software developers to create, test, and deploy ML models that power decision-making at the edge. This isn’t a role where your work sits on a shelf—your models will shape real-time operational outcomes in secure environments.

We’re building innovative AI systems from the ground up, and we’re looking for someone who’s not just a technical expert—but someone who thrives in ambiguity, takes initiative, and is obsessed with mission success.




Key Responsibilities

Develop, train, and validate machine learning models tailored to national security use cases
Explore and analyze high-dimensional datasets to uncover insights and automation opportunities
Collaborate with engineering and software teams to integrate models into production systems
Continuously optimize model performance, with a focus on deployment in secure, operational environments
Translate vague or complex mission needs into clear, testable data science workflows




Required Qualifications

Active TS/SCI clearance
3–7 years of experience in data science or applied ML, ideally in secure or national security settings
Proficiency in Python and core data science libraries (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
Experience working in classified computing environments
Strong problem-solving skills and the ability to operate with minimal direction




Bonus Points For

Familiarity with DoD/IC data systems and data security protocols
Experience working on edge AI, sensor data, or real-time operational ML
Ability to explain technical findings to non-technical mission stakeholders




If you're a mission-driven data engineer looking to apply your skills in a meaningful, high-impact role—this is the opportunity to be part of something that truly matters.

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Job Title: Machine Learning Engineer
Company: StreetID
Location: New York City Metropolitan Area
Description:
We are seeking a highly skilled AI / Machine Learning Engineer to join a dynamic quantitative research and trading team at a leading hedge fund. The ideal candidate will bring deep expertise in Python, machine learning, and recent experience working with Large Language Models (LLMs). You will work closely with data scientists, PMs, and software engineers to build AI-driven systems that enhance investment decision-making and drive alpha generation.

Key Responsibilities:

Develop, fine-tune, and deploy Large Language Models (LLMs) to extract insights from financial text data (e.g., earnings calls, broker reports, regulatory filings, internal research).
Collaborate with researchers and PMs to identify AI use cases that can improve investment strategies and operational workflows.
Design and implement scalable ML pipelines in Python, ensuring reproducibility and robustness across datasets and environments.
Integrate LLM outputs with structured financial data to support portfolio construction, signal generation, and risk management workflows.
Own model evaluation, optimization, and monitoring, ensuring that deployed systems are stable, interpretable, and production-ready.
Contribute to the selection and experimentation of open-source models and fine-tuning strategies (e.g., prompt engineering, supervised fine-tuning, RAG pipelines).
Stay current on advances in NLP/ML research and assess their practical impact on the fund’s data and modeling infrastructure.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or a related field.
1–5 years of experience building and deploying machine learning models in a production environment, preferably in financial services or high-impact domains.
Strong Python skills, including use of pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.
Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Falcon), including fine-tuning, inference, prompt design, and embedding techniques.
Experience working with APIs and unstructured data (e.g., natural language text, PDFs, HTML).
Familiarity with ML ops concepts (e.g., model versioning, feature stores, deployment tools).

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Job Title: Data Scientist
Company: TechOp Solutions International
Location: Tampa, FL
Description:
We are seeking a talented and experienced Data Scientist to join our team. As a Data Scientist, you will play a crucial role in designing, developing, and implementing data science solutions to empower investigators and enhance our capabilities in extracting meaningful information and identifying anomalous patterns of activity.

Responsibilities:


Collaborate with subject matter experts, team leads, and third-party vendors to define new features and functions for automation, aiding investigators in extracting meaningful information about a target and their surrounding network
Design, code, test, and document data science microservices primarily in Python
Support the integration of disparate bulk data sources into a unified database
Develop and optimize graph traversal queries and analytic pipelines to support analyst use cases, ensuring smooth transition from development to test and production environments
Extract valuable information from unstructured text, including SAR narratives and web scraped data related to cryptocurrency addresses and actors
Generate synthetic data for testing and development environments, as well as for the MM capstone training, adapting to evolving MM training and data holdings



Requirements


Proficient in Python programming
Experience with graph traversal languages such as Gremlin, Cypher, or GraphML, along with expertise in network analytics, including centrality, community detection, link prediction, pattern recognition, and blockchain analytics (Preferred)
Strong SQL or other relational database query experience
In-depth knowledge of graph-structured data and analytics
Familiarity with Natural Language Processing (NLP) techniques
Background in financial and banking data analytics, including insights from data and unstructured data-information extraction
Expertise in blockchain architecture and cryptocurrency data analytics
Knowledge of GPS technology and its integration into analytical processes
Experience with cloud platforms, specifically Amazon Web Services (AWS)
Understanding of machine learning algorithms and their application in cybersecurity analytics


Qualifications:


Bachelor's or advanced degree in Computer Science, Data Science, or a related field
1-3 years of experience in a similar role
Strong communication and collaboration skills
Ability to work in a dynamic and fast-paced environment



An Active Top Secret Clearance Is Required.

#IND123
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Job Title: Product Data Scientist
Company: Bask Health
Location: New York, NY
Description:
Product Data Scientist at Bask Health

At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact.

Why You'll Love Working at Bask Health


Discover actionable insights Seek objective truths through analysis, challenging assumptions, and uncovering the stories hidden in the data to guide decision-making
Drive meaningful change Apply your analytical, statistical, and technical expertise to generate insights that directly influence our product decisions and business strategy
Work with advanced tools Utilize cutting-edge techniques like regression analysis, segmentation, and A/B testing to inform product optimization and continuous improvement


Join us and play a pivotal role in shaping innovative solutions that transform telehealth, empower patients, and redefine the future of healthcare.

Requirements

Educational Background


Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field
Advanced degrees (e.g., Master's or PhD) in relevant disciplines are a plus


Experience


3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights
Experience working with cross-functional teams, including product managers, engineers, and designers
Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory


Technical Skills


Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)
Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation
Experience with A/B testing and designing experiments
Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud) is a bonus


Analytical Skills


Ability to extract actionable insights from complex datasets
Strong problem-solving skills and a keen sense of curiosity
Experience applying machine learning techniques is a plus


Soft Skills


Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders
Strong project management skills, with the ability to prioritize tasks and meet deadlines
Collaborative and proactive mindset
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Job Title: Data Scientist
Company: HDFC Bank
Location: Mumbai, Maharashtra, India
Description:
Vertical : Credit analytics and innovation

Job Purpose

Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics.

Job Responsibilities(JR) : 6 – 8 Areas

Actionable (4-6)

· Scorecard Building and Modelling

· Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers

· Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank’s strategies so as to gain maximum efficiencies.

· Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.

· Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure

· Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models

· Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders

· To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies

· To work on various aspects related to automation of scorecards in Analytics domain.

· Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives

· Innovation

· Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.

· Any other assignments depending on the needs of the organization

Educational Qualifications

Key Skills

1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred

· Excellent problem solving capabilities with strong fundamentals in computer science

· Strong technical & analytical skills

· Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms

· Strong written and verbal communication skills

· Excellent knowledge of current trends in the field of machine learning/analytics field

Experience Required

Experience of 2+ years in analytics/predictive modeling/machine learning
Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models
Exposure to banking preferable

Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)

· Credit Policy

· Underwriting

· Process

· Fraud Control

· Product

· Credit Bureaus

· Third Party Analytics Service Providers

· IT

· Legal

· Information Security

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Job Title: Data Science Specialist
Company: Banque Misr
Location: Cairo, Cairo, Egypt
Description:
Shape the Future of Banking with AI at Banque Misr!

Banque Misr is transforming into an AI-led bank, revolutionizing how we serve our customers and drive the future of finance. We leverage our rich heritage and expertise to build a data-driven powerhouse that anticipates customer needs, personalizes experiences, and optimizes operations. We're not just talking about AI; we're deploying it, and we're seeing tangible results that touch the lives of every Egyptian. Join our agile, hybrid team and be at the forefront of this exciting transformation!

About the Role: We're looking for an experienced Data Science Specialist to join our growing team. You will work on challenging and impactful projects, collaborating with cross-functional teams to develop and deploy cutting-edge AI solutions. You will also have the opportunity to mentor junior team members. Our commitment to agility, human-centricity, social inclusion, and digital transformation drives us to find the best talent.

Responsibilities:


Develop and implement machine learning models for various banking applications
Refine and optimize existing machine learning models for improved performance
Conduct in-depth data analysis and interpretation to identify actionable insights
Communicate findings and recommendations to both technical and non-technical audiences
Stay up-to-date with the latest advancements in AI and machine learning
Guide junior team members. Same comment as Senior Data Scientist JD



Requirements

Required Skills:


2+ years of experience in Data Science or a related field
Practical experience in statistical modeling and machine learning techniques
Proficiency in programming languages like Python or R
Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy)
Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch)
Excellent communication and presentation skills
Ability to work effectively in an agile, hybrid team environment



Desirable Skills:


Relevant experience in the financial industry (preferred, but not required)
Familiarity with MLOps principles and tools



Apply now and help us build the future of banking! We aim to deliver unparalleled products and services through innovation in AI.
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