CrawlJobs Logo

Applied Data Scientist

· Job Posted February 05, 2026
Apply Position
Job Link Share

Job Description

Start.io is a mobile marketing and audience platform. Start.io (formerly StartApp) empowers the mobile app ecosystem and simplifies mobile marketing, audience building, and mobile monetization. Start.io's direct integration with over 500,000 monthly active mobile apps provides access to unprecedented global first-party data, which can be leveraged to understand and predict behaviors, identify new opportunities, and fuel growth. Our Data Science team is looking for an enthusiastic junior applied data scientist to join and handle batch processing and predictions for tens of billions of events from billions of users. You’ll have the opportunity to impact on a daily level, our data products development in a collaborative culture.

Job Responsibility

  • Develop and deploy batch data pipelines processing billions of data signals
  • Support real-time NLP applications
  • Design data flows and develop utilities that allow the team members to work more efficiently
  • Manage data pipelines from and to all of our data sources, such as Vertica and AWS S3
  • Develop CI/CD pipelines
  • Build and maintain classical ML models as well as deep learning models for massive amounts of events
  • Work closely with DS, DA, DevOps, ETL engineers, and product managers
  • Build production-grade LLM and RAG systems for data-driven classification and prediction

Requirements

  • 1-2 years as a data scientist
  • B.Sc. in engineering, computer science, or other quantitative fields
  • Practical experience with Python and SQL
  • Understanding ML and DL concepts
  • Passion for data and DS workflows, independence, and being a team player

Nice to have

  • Practical experience with container-based development (e.g., Docker)
  • Experience in the design and development of scalable big data solutions
  • Experience with AWS platform – S3, SQS, etc.
  • Experience with PySpark

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Applied Data Scientist

8 matching positions

Applied Scientist & Theoretical Scientist (within Physics)

12-month placement. Play an integral role within the Physics team to support the...
Location
Location
United Kingdom , Aldermaston near Reading
Salary
Salary:
23500.00 GBP / Year
awe.co.uk Logo
AWE
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Growth mindset
  • Curiosity
  • Innovation
  • Resilience
  • Teamwork
  • British Citizen (due to national security requirements)
Job Responsibility
Job Responsibility
  • Radiation detection measurements and analysis
  • Photo, electron and neutron modelling codes
  • Simulating and measuring material properties in exotic states of matter
  • Developing new and novel computational algorithms to solve physics problems
  • Complex mathematical assessments
What we offer
What we offer
  • Every other Friday off work (nine-day fortnight)
  • 270 hours of annual leave
  • Fulltime
Read More
Arrow Right

Founding Applied Scientist

Koah Labs is building the ad network to power the next generation of AI-native p...
Location
Location
United States , San Francisco
Salary
Salary:
Not provided
koahlabs.com Logo
Koah Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
  • Enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact
  • Relentless focus on continuous learning and making an impact with an ability to question the status quo
  • Strong mathematical and statistical modeling skills
  • Enjoy communicating conclusions to both technical and non-technical audiences alike
Job Responsibility
Job Responsibility
  • Design efficient algorithms for real-time bidding systems, building upon the current pricing literature
  • Create and productionize regression models to predict end conversions based on demographic, audience, and semantic data
  • Apply privacy-preserving clustering methods to categorize conversational data to improve advertiser outreach
  • Analyze and pore over data to find alpha that can improve the core ad matching system balancing publisher and advertiser outcomes
What we offer
What we offer
  • Meaningful Equity
  • Offers Bonus
  • Fulltime
Read More
Arrow Right

Data Scientist

Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to s...
Location
Location
United States , Patuxent River
Salary
Salary:
Not provided
synecticsolutions.com Logo
Synectic Solutions Inc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Must have a bachelor’s degree in a technical or scientific field from an accredited college or university
  • Must have a minimum of three (3) or more years of relevant work experience
  • Must have an active DoD Secret Clearance or higher
  • Must be a US Citizen
Job Responsibility
Job Responsibility
  • Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
  • Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
  • Visualize, interpret, and report data findings
  • Fulltime
Read More
Arrow Right

Data Scientist II

At Amazon, we strive to be Earth's most customer-centric company, where customer...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
Job Responsibility
Job Responsibility
  • Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
  • Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
  • Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
  • Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
  • Develop efficient data querying infrastructure for both offline and online use cases
  • Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
  • Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
  • Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
Read More
Arrow Right

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...
Location
Location
United States , San Jose
Salary
Salary:
148000.00 - 340500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
  • Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
  • 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
  • Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
  • Able to communicate effectively in a variety of formats and collaborate with diverse teams
Job Responsibility
Job Responsibility
  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to-date with latest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design
What we offer
What we offer
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Personal and professional development programs
  • Inclusive workplace policies
  • Fulltime
Read More
Arrow Right

Software Engineer Staff - Data Scientist

Designs, develops, troubleshoots and debugs software programs for software enhan...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
  • Proficiency in Python, R, SQL, or other programming languages for data analysis
  • Experience with data wrangling, manipulation, and visualization tools and libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
  • Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, etc.
  • Familiarity with cloud computing platforms and services such as AWS, Azure, or Google Cloud
  • Strong analytical and problem-solving skills
Job Responsibility
Job Responsibility
  • Collect, clean, and transform data from various sources and formats for model training
  • Perform exploratory data analysis and visualization to understand patterns and trends
  • Build, test, and deploy predictive models and algorithms using appropriate tools and frameworks to a production cloud environment
  • Communicate findings and recommendations to stakeholders and clients using clear and compelling reports and presentations
  • Collaborate with other data scientists, engineers, and domain experts on cross-functional projects
What we offer
What we offer
  • Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
  • Programs for personal and professional development
  • Inclusive environment that celebrates individual uniqueness
  • Fulltime
Read More
Arrow Right

Data Scientist

At LeverX, we have had the privilege of delivering over 950 projects. With 20+ y...
Location
Location
Salary
Salary:
Not provided
leverx.com Logo
LeverX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience as a Data Scientist
  • Hands-on experience with data analysis (probability theory and statistics, table data analysis experience) and statistical libraries such as SciPy or statsmodels
  • Knowledge and hands-on experience with machine learning, including both supervised and unsupervised learning, classical models, neural networks, and popular frameworks (scikit-learn, LightGBM, XGBoost, Keras, PyTorch, and TensorFlow)
  • Proficiency in Python and the ability to create APIs for developed solutions using tools such as FastAPI, Flask, Django REST framework, TensorFlow Serving, PyTorch Serving, Docker, and others
  • Experience with reporting and visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Altair, Jupyter Notebooks, Streamlit, TensorBoard) as well as with machine learning services offered by at least one major cloud provider (AWS, Azure, or GCP)
  • Understanding of DataOps and MLOps
  • Experience working according to Agile practices
  • English B2+
Job Responsibility
Job Responsibility
  • Collaborate closely with a distributed team of Data Scientists, Engineers, and stakeholders across various time zones
  • Own the full lifecycle of AI/ML solutions, from initial research and prototyping to model deployment and monitoring in production
  • Engage with business stakeholders to gather requirements, clarify goals, and translate them into data-driven solutions
  • Leverage cloud ML services and containerized APIs to build scalable machine learning pipelines
  • Apply classical ML models and neural networks using cutting-edge frameworks for a wide range of predictive and analytical tasks
  • Utilize AI tools extensively in the SDLC process
What we offer
What we offer
  • Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
  • Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
  • Global clients based in Europe and the US, including Fortune 500 companies
  • Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
  • Healthy work atmosphere: On average, our employees stay in the company for 4+ years
  • Market-based compensation and regular performance reviews
  • Internal expert communities and courses
  • Perks to support your growth and well-being
Read More
Arrow Right

Senior Data Scientist

At Zenjob, you’ll work on data products that actually ship and shape how thousan...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
foodlabs.com Logo
FoodLabs & Atlantic Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of applied Data Science experience, ideally in marketplaces or other matching-heavy environments
  • A curious, proactive, impact-driven mindset with strong business acumen
  • Enjoy working in environments where things move fast, priorities evolve, and iteration happens quickly
  • Solid ML expertise in scoring, ranking, and optimization techniques used in matching and allocation systems
  • Experience building forecasting models using time-series and probabilistic approaches
  • Strong experimentation skills, including A/B testing and quasi-experimental methods, with the ability to interpret results clearly
  • Proficiency in SQL and Python with the ability to move from exploration to production
  • Clear communication and strong product thinking, able to influence decisions and define success metrics
Job Responsibility
Job Responsibility
  • Shape product decisions: Data should guide decisions from the start. You will proactively explore our data to identify product opportunities, inefficiencies, and growth levers. You’ll translate complex findings into actionable insights that help PMs and business leaders prioritize what truly matters
  • Forecast marketplace dynamics: Strong forecasting prevents shortages and overbooking. You will model supply and demand patterns using robust time-series and probabilistic methods that support planning and operational decisions
  • Improve matching efficiency: Better matching means higher fill rates, happier customers, and less manual work. You will build and refine ranking and allocation models so the right talent reaches the right job quickly and reliably, whether through ML or other data-driven methods
  • Experiment with confidence: Good experiments beat guesses. You will design and run end-to-end experiments using methods suited for a two-sided marketplace (A/B, quasi-experimental approaches, switchbacks, holdouts) and interpret results with clarity
  • Ship models that matter: Models only matter when users benefit from them. You will own the process of turning analyses or models into production, working with engineering on monitoring, fallback strategies, and safe rollouts
What we offer
What we offer
  • 28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days)
  • 1 day of special leave for community service
  • 5 days of paid educational leave
  • Possibility of unpaid leave
  • Hybrid working model
  • Dog-friendly office
  • Annual training budget of EUR 750
  • Mentoring opportunities
  • Constant career development conversations
  • 30 EUR Urban Sports Club grant per month
Read More
Arrow Right