Data Scientist Job at Kalshi (New York)

Data Scientist

At Vodafone, we’re not just shaping the future of connectivity for our customers...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Master's (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering
0 to 2 years of relevant experience with a focus on advanced analytics and predictive modelling
Competent in machine learning principles, deep learning and generative AI techniques
Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib)
Familiar with leading visualisation tools (e.g. Tableau, Spotfire, Power BI)
Familiar with implementing data transformations and algorithms in common programming languages
Strong communication skills with prior experience communicating analytics results to senior management
Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS)
Deep and broad statistical modelling expertise in various domains
Ability to work cross functional teams to translate business issues into potential analytics solutions

Job Responsibility

Identifying business opportunities to make a commercial difference
leads the development of analytics initiatives to meet business requirements
Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results, to create understanding and solution buy-in
Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms and data sources
Works closely with Technology teams to design, build, test, deploy, maintain and improve technology solutions and models
Identifies new analytics trends and opportunities to drive the innovation agenda across business functions & Advanced Analytics
Spread Design Thinking and Agile methodologies

Fulltime

Data Scientist

We are looking for a Data Scientist to join a fast-paced investment environment ...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in data science or quantitative research, preferably within financial services or investment-focused settings
Strong hands-on programming ability in Python, including experience working with large, unstructured, or imperfect datasets
Practical experience with PySpark, Databricks, SQL, ETL workflows, and cloud platforms such as AWS
Solid foundation in statistics, modeling techniques, and experimental design principles
Demonstrated ability to turn ambiguous business or research questions into rigorous analytical approaches
Comfortable operating in a high-expectation, fast-moving environment with a high degree of ownership and independence

Job Responsibility

Work closely with investment professionals to create quantitative studies, analytical frameworks, and practical tools that strengthen fundamental research workflows
Identify promising alternative data sources, assess their relevance and quality, and support their integration into the research process
Design and execute backtests, predictive models, and exploratory investigations to evaluate and refine investment hypotheses
Produce and maintain analyst-facing dashboards and reporting views within internal analytics environments
Convert one-off research requests into repeatable, clearly documented analyses that can be reused and scaled over time
Partner with engineering teams to define data needs, support ingestion processes, and improve dataset availability for research use

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training

Fulltime

New

Data Scientist

We are looking for a Mid & Senior Data Scientist focused on classical machine le...

Location

Malaysia , Kuala Lumpur

Salary:

6000.00 - 15000.00 MYR / Month

Randstad

Expiration Date

August 17, 2026

Requirements

Experience: 3+ years of professional data science experience delivering production-grade models
Traditional ML: Deep expertise in classical algorithms (XGBoost, LightGBM, Random Forests, Linear/Logistic Regression, Time-Series forecasting)
Technical Stack: Advanced Python (Scikit-Learn, Pandas, NumPy) and SQL
Methodology: Strong foundation in probability, statistics, and A/B testing
Education: Degree in a quantitative field (Statistics, Math, Computer Science, Economics, etc.)

Job Responsibility

Predictive Modeling: Build, evaluate, and deploy traditional ML models to solve complex business problems
Statistical Analysis: Apply rigorous statistical methods (hypothesis testing, regression, experimental design) to validate insights
Feature Engineering: Architect clean, scalable data pipelines and feature sets from large, complex datasets
Collaboration: Translate business goals into structured analytical frameworks alongside cross-functional teams

What we offer

Highly competitive salary and benefits
A pragmatic, data-driven culture that values scientific rigor

New

Data Scientist

WHAT'S IN IT FOR YOU Benefits: Compensation: $88,000 - $121,000 Annual Performan...

Location

Canada , Cambridge

Salary:

88000.00 - 121000.00 USD / Year

ATS Automation Tooling Systems Inc.

Expiration Date

Until further notice

Requirements

A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial intelligence, Engineering)
A Master’s degree is considered beneficial
Strong experience with the deployment, configuration, and operationalization of Databricks environments, including workspace architecture, cluster management, CI/CD integration, security, governance, and enterprise-scale administration
Experienced in building and managing modern data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables, Structured Streaming, Workflows, medallion architectures (Bronze/Silver/Gold), and real-time/batch ingestion frameworks
Deep understanding of Databricks ecosystem components including Unity Catalog, data lineage, RBAC, monitoring/observability, cost optimization, ML/AI enablement, model serving, and secure enterprise data collaboration through Clean Rooms
Proven experience integrating Databricks with enterprise cloud and industrial data ecosystems, including Kafka, SQL databases, APIs, IoT/OT platforms, and cloud environments such as Azure, AWS, and GCP
Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational intelligence initiatives
Proficiency in programming languages like Python, R, or Java
Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy)
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

What we offer

Compensation: $88,000 - $121,000
Annual Performance-Based Incentive Bonus
5% RRSP match
Stock purchase plan
Starting 3 weeks of vacation
Benefits package (health and dental) + $600 health spending account
Half-Day Fridays
Continuous learning and career growth with global mobility opportunities
A chance to contribute to something bigger - advancing the future of healthcare through automation

Fulltime

Data Scientist

We are looking for a Data Scientist to support AI and machine learning initiativ...

Location

United States , Palo Alto

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

PhD or master's degree in statistics, informatics, data science, or a closely related quantitative field
For candidates with a master's degree, at least 4 years of relevant experience applying data science methods to business, research, or healthcare problems
Demonstrated experience building, evaluating, and implementing machine learning models in applied environments
Proficiency in Python or R, with the ability to process and analyze large datasets using SQL and cloud technologies
Strong grounding in statistics, machine learning, and artificial intelligence concepts at the graduate level
Experience collaborating with clinicians, researchers, or other cross-functional subject matter experts on complex analytical initiatives
Solid communication, prioritization, and problem-solving skills, with the ability to manage multiple deliverables effectively

Job Responsibility

Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes
Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases
Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities
Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls
Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms
Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments
Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Data Scientist

Altamira Technologies has a long and successful history providing innovative sol...

Location

United States , McLean

Salary:

140000.00 - 230000.00 USD / Year

Altamira Technologies

Expiration Date

Until further notice

Requirements

Knowledge of Defense intelligence all source analysis, Operations research / systems engineering and analysis Intelligence community databases and tools, non-Defense intelligence analysis, structured analytic techniques, and text exploitation and analytics
Expertise in advanced tools such as: Mixed Mathematical Capabilities: R Software w/extensive variety of modules (plugins - statistics, modeling, visualization), Text Analytics - IN-SPIRE, Jigsaw, Text/Data - Net Owl, Gate, and Mathematics Modeling - MATLAB
A working knowledge with day-to-day data analysis tools are also necessary, Spreadsheet / Data - Excel s/Power plugins, Tableau, and Document Development-Word, MS Publisher
An understanding and experience with visual and geospatial analysis is an added benefit for the senior data scientist: Geospatial Analysis - OpenGeo, ArcGIS, GeoTime, Clavin, Visual Analytics - Vortek (Starlight), Visualization - Gephi, Word cloud tools, and Graphics Production - PowerPoint, Adobe Creative Suite, Photoshop, HTML5
5-10 years of experience or an advanced degree MS / Ph.D.
Three years of experience in the intelligence community
TS/SCI with FSP clearance

Job Responsibility

Responsible for overall data science and data characterization technologies and will report to the on-site program manager
Assess technology development and evaluate its operational usefulness and eventually demonstrate the technology capability through test and evaluation
Results must be documented in writing and communicated both verbally and through multi-media methods to senior management

Fulltime

Data Scientist

Proven to Perform. From the edges of space to the bottoms of ocean, our material...

Location

United States , Cudahy

Salary:

Not provided

ATI

Expiration Date

Until further notice

Requirements

B.S. degree in computer science, engineering with a strong statistical and programming background
Experience in deep learning, predictive modeling, data mining, and time series analysis
Knowledge of image segmentation, generative models, convolutional neural networks
Experience in applied machine learning

Job Responsibility

Map data from multiple sources into new structures
Work with business subject matter experts to determine best solutions
Serve as a subject matter expert in the capabilities of Data Science
Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques
Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data

Fulltime

New

Data Scientist

We are a global biopharmaceutical company focused on human health. Our purpose i...

Location

France , Paris

Salary:

42400.00 - 56533.33 EUR / Year

Sanofi

Expiration Date

August 04, 2026

Requirements

Over 3 years of experience of handling data science projects in varied business contexts, with experience in healthcare being a strong plus
Experience in developing deployable models and AI solutions
Demonstrated ability to perform exploratory data analysis and create visualizations
Experience in production-ready software development
Strong curiosity and eagerness to learn new concepts and technologies
Good communication skills, both written and verbal
Problem-solving ability and analytical thinking
Attention to detail in data handling and analysis
Ability to contribute to a diverse and inclusive team environment
Willingness to ask questions and seek guidance when needed

Job Responsibility

Gather relevant data from various sources, and perform relevant analysis to propose and implement relevant data models for each business case
Apply statistical methods and machine learning techniques to extract insights from datasets
Design, implement and fine-tune AI/ML models using various algorithms and tools
Presenting findings through clear and informative charts, graphs, and dashboards
Support senior team members in understanding business teams requirements, and translate them into technical needs
Staying updated with the latest trends, tools, and techniques in the field of data science

What we offer

Fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results
Quality health insurance
Extended maternity/parental leave (18/14 weeks)
Enhanced support in case of illness
Teleconsultation and second medical opinion covered by Sanofi
31 days of paid leave + RTT depending on your status
Remote work up to 2 days/week
Public transport coverage up to 80%
Group Savings Plan and PERCOL with employer matching
PERO

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