Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Lead Data Scientist

Posted 2024-11-19

View full description

💎 Seniority level: Lead, 7+ years

🔍 Industry: Fraud detection

🏢 Company: Fingerprint

🗣️ Languages: Fluent English

⏳ Experience: 7+ years

Requirements:
  • 7+ years of experience in Machine Learning, Data Science, and backend development.
  • Advanced foundations in ML and statistical methodologies.
  • Strong experience in supervised learning and high-cardinality categorical data handling.
  • Familiarity with semi-supervised and unsupervised learning techniques.
  • Proficiency in exploratory data analysis.
  • Strong expertise in real-time ML service development.
  • Excellent coding skills, especially in SQL.
  • Ability to create MVP real-time web services from ML models.
  • Fluent English for clear communication.
Responsibilities:
  • Develop data-driven algorithms for Fingerprint Pro Identification Service using ML techniques.
  • Lead design and implementation of learning approaches to enhance identification capabilities.
  • Mentor team members in machine learning and analytics.
  • Conduct exploratory data analysis to address anomalous data.
  • Design solutions for ML technical challenges.
  • Promote data-driven culture within the team.
Apply

Related Jobs

Apply
🔥 Lead Data Scientist
Posted 2024-11-19

🔍 Fraud detection

  • Experience: 7+ years in Machine Learning, Data Science, and backend development.
  • Advanced foundations in ML and statistical methodologies.
  • Strong experience in supervised learning, including gradient boosting.
  • Practical experience with semi-supervised and unsupervised learning techniques.
  • Proficiency in exploratory data analysis and performance estimation.
  • Strong expertise in real-time ML service development.
  • Excellent coding skills with expertise in SQL and software engineering tools.
  • Ability to create MVP real-time web services from ML models.
  • Fluent English for communication in a remote team.

  • Develop data-driven algorithms for Fingerprint Pro Identification Service.
  • Lead the design and implementation of supervised, semi-supervised, and unsupervised learning approaches.
  • Mentor team members in machine learning, data science, and analytics.
  • Conduct exploratory data analysis for ad-hoc questions and anomalous data.
  • Design experiments and solutions for ML engineering challenges.
  • Foster an engineering-focused, data-driven culture across the team.
Posted 2024-11-19
Apply
Apply
🔥 Lead Data Scientist
Posted 2024-11-08

📍 LATAM

🔍 Data Science Consultancy

  • Bachelor’s degree in a related field or equivalent experience. Advanced degree (MS) in Statistics, Math, Data Analytics, or a related quantitative field preferred.
  • 5+ years professional experience in Data Science.
  • Demonstrated ability leading and mentoring data science teams.
  • Proficiency in SQL, Python, and Jupyter Notebooks.
  • Experience working with Google Cloud Platform (GCP) or similar cloud platforms.
  • Expertise in causal inference, A/B testing, and classification modeling.
  • Strong data visualization and storytelling skills.
  • Strong problem-solving skills; ability to pivot complex data to answer business questions.
  • Ability to handle ambiguity and solve open-ended problems through data analysis.

  • Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Lead customer behavior analysis to provide insights into key business challenges, with a focus on identifying trends, customer segments, and sales channel performance.
  • Work extensively with SQL and Python to analyze large datasets, ensuring accurate and actionable insights.
  • Collaborate with cross-functional teams to design and implement A/B testing and experimental designs, utilizing causal inference and classification modeling.
  • Communicate findings through compelling visualizations and storytelling, tailoring presentations to both technical and non-technical stakeholders.
  • Guide and mentor junior analysts, fostering their professional growth and contributing to team success.

LeadershipPythonSQLData AnalysisGCPData analysisData scienceAnalytical SkillsProblem Solving

Posted 2024-11-08
Apply
Apply
🔥 Lead Data Scientist
Posted 2024-11-08

📍 LATAM

🔍 Data Science Consultancy

  • Bachelor’s degree in a related field or equivalent experience; advanced degree (MS) preferred.
  • 5+ years professional experience in Data Science.
  • Demonstrated ability to lead and mentor data science teams.
  • Proficiency in SQL, Python, and Jupyter Notebooks.
  • Experience with Google Cloud Platform (GCP) or similar cloud platforms.
  • Expertise in causal inference, A/B testing, and classification modeling.
  • Strong data visualization and storytelling skills.
  • Strong problem-solving skills and ability to handle ambiguity.

  • Work with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Lead customer behavior analysis focusing on identifying trends, customer segments, and sales channel performance.
  • Analyze large datasets using SQL and Python to ensure accurate insights.
  • Design and implement A/B testing, utilizing causal inference and classification modeling.
  • Communicate findings through visualizations and storytelling tailored to stakeholders.
  • Guide and mentor junior analysts.

LeadershipPythonSQLData AnalysisGCPData analysisData scienceAnalytical SkillsProblem Solving

Posted 2024-11-08
Apply
Apply
🔥 Lead Data Scientist - BA
Posted 2024-11-07

📍 Latin America

🧭 Contractor

🔍 Software outsourcing

🏢 Company: Teravision Technologies

  • Demonstrated experience in AI/ML model development and deployment, especially on Azure/Microsoft platforms.
  • Proficiency in Python, R, SQL, and relevant ML technologies.
  • Experience with cloud-based AI tools, such as Azure Machine Learning, Cognitive Services, and Databricks.
  • Familiarity with data visualization tools such as Power BI or Tableau.
  • Previous experience in .Net Core, C#, SQL Server type of project is a plus.
  • AI-Azure services knowledge is a must.
  • Ability to work with clients and stakeholders, identify business needs, and translate them into effective technical solutions.
  • Self-starter, motivated, organized, and able to meet goals independently.
  • Personable and extroverted, comfortable in client-facing roles.
  • Strong analytical and problem-solving skills to tackle complex integration challenges.
  • Advanced English communication skills are a must.
  • Bachelor’s Degree in Data Science, Computer Science, Statistics, or a related field or equivalent work experience.

  • Lead the development and implementation of AI models, using Azure/Microsoft platforms.
  • Manage the complete project lifecycle, ensuring timely and high-quality delivery that aligns with client expectations.
  • Support pre-sales efforts by sharing insights, preparing proposals, and providing technical guidance.
  • Advise clients on AI strategies and best practices to maximize the impact of AI projects.

PythonSQLMachine LearningTableauAzureData science.NET.NET coreCommunication Skills

Posted 2024-11-07
Apply
Apply
🔥 Lead Data Scientist
Posted 2024-10-23

📍 India

🧭 Full-Time

🔍 Global Capability Centers (GCC)

🏢 Company: InOrg Global

  • Master’s or PhD in a relevant field, with a strong emphasis on Machine Learning, Deep Learning, and AI.
  • 5+ years of experience in data science, including leadership roles.
  • Proficient in Python; knowledge of BI, Snowflake, and Snowpark is advantageous.

  • Lead the design and implementation of sophisticated models using Machine Learning and Deep Learning techniques.
  • Oversee the delivery of data science projects, ensuring they meet business requirements and are completed on schedule.
  • Mentor and develop team members, enhancing their skills in Python, Machine Learning, Deep Learning, and AI.
  • Collaborate with stakeholders across the organization to identify opportunities for leveraging data to drive business solutions.

LeadershipProject ManagementPythonKerasMachine LearningPyTorchData scienceTensorflowCollaboration

Posted 2024-10-23
Apply
Apply
🔥 Lead Data Scientist
Posted 2024-10-23

📍 United States

🧭 Full-Time

💸 170000 - 195000 USD per year

🔍 Financial planning, consumer technology

🏢 Company: Facet

  • 6+ years of experience in a data science or machine learning role.
  • Experience with business efficiency metrics like CAC, LTV, AR, etc.
  • Proficiency with Python and SQL.
  • Knowledge of predictive modeling techniques including regression, classification, clustering, and optimization.
  • Experience with dashboarding tools and end-to-end data pipelines.
  • Familiarity with secure data handling practices.

  • Exposing Insights: Produce analysis reports and diagnostic models to discover hidden patterns in data.
  • Evaluate & Produce Quality: Ensure code quality is maintained through reviews.
  • Data Engineering: Gather, clean, and preprocess data, and perform feature engineering.
  • Predictive Modeling: Develop, validate, and deploy predictive models using various algorithms.
  • Generative Modeling: Use technologies to create abstractions and novel features.
  • Continuous Improvement: Stay updated on trends in data science and participate in knowledge-sharing.

PythonSQLData AnalysisMachine LearningAlgorithmsData analysisData engineeringData science

Posted 2024-10-23
Apply
Apply
🔥 Lead Data Scientist
Posted 2024-10-21

📍 United States

🔍 Automotive

🏢 Company: J.D. Power

  • Master’s Degree in Statistics, Data Science, Economics, or a related field.
  • 8+ years of professional experience working with large datasets.
  • 8+ years of professional experience with statistical programming software, preferably Spark or Python.
  • 8+ years of professional experience with database software (RedShift, Hive, SQL, MySQL).
  • Ability to communicate technical processes to a lay audience.
  • Presentation experience.
  • Curiosity and passion for solving problems with data.

  • Daily immersion in automotive industry data.
  • Involved in strategic planning and decision-making for data science initiatives.
  • Independently create decks to make highly technical predictions relatable to the automotive industry.
  • Documentation of machine learning processes.
  • Deep expertise in advanced feature engineering and AI/ML model building.
  • Collaborate closely with technology and engineering teams.
  • Work with the product team to develop analytics for new products.
  • Lead PI planning for upcoming major developments.
  • Create visual reports in Tableau for clients.
  • Conduct ad-hoc data analysis and reporting.

AWSPythonSQLData AnalysisMachine LearningMySQLTableauAlgorithmsData analysisData scienceGoSpark

Posted 2024-10-21
Apply
Apply
🔥 Lead Data Scientist
Posted 2024-10-20

📍 United States, Israel, Europe

🔍 Agricultural technology

🏢 Company: CropX

  • Prior hands-on experience with quantitative data science in digital farming and/or agronomy domains.
  • Prior experience leading data science teams.
  • 5+ years of hands-on experience as a Data Scientist or related position.
  • Broad knowledge and strong passion for learning new technologies in AI and algorithms, remaining updated with advancements.
  • Excellent communication and presentation skills.
  • Experience using statistical computer languages such as Python and R.
  • Preferred: Experience developing end-to-end data science solutions in production.
  • Preferred: Knowledge with distributed data/computing tools like Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

  • Lead a high-performing team comprised of data scientists and agronomic domain scientists.
  • Develop new models and high-quality prediction systems integrated with our products.
  • Research and develop innovative approaches and algorithms to extract insights from our data.
  • Work collaboratively in cross-functional teams, including engineers, product managers, and domain experts, to drive impactful data science projects and research initiatives.
  • Work closely with senior leadership on data and AI strategies for the company.

LeadershipPythonHadoopMachine LearningMySQLAlgorithmsData scienceSpark

Posted 2024-10-20
Apply
Apply
🔥 Lead Data Scientist
Posted 2024-10-15

📍 India

🔍 Product engineering, cloud-native, data engineering, B2B SaaS, IoT & Machine Learning

🏢 Company: Velotio Technologies

  • 5+ years of industry experience in data science or related field.
  • Strong expertise in statistical analysis, predictive modeling, and machine learning algorithms.
  • Proficient in Python and popular data analysis and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Experience with big data processing frameworks (e.g., Spark, Hadoop).
  • Solid understanding of SQL and databases.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving and analytical skills.
  • Strong communication and presentation skills.
  • Master's or PhD in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics) is preferred.

  • Collaborate with cross-functional teams to define problem statements, hypotheses, and success metrics for data science projects.
  • Design, develop and deploy machine learning models and predictive analytics solutions at scale.
  • Perform exploratory data analysis, feature engineering, and data preprocessing to support model development.
  • Apply statistical analysis and machine learning techniques to extract insights and solve business problems.
  • Prototype and implement data products and pipelines using modern data tools and frameworks.
  • Drive the adoption of best practices in data science, including experiment design, testing, and evaluation.
  • Communicate findings and insights to stakeholders through data visualization, reports, and presentations.
  • Stay up-to-date with the latest developments and trends in machine learning and data science.

AWSPythonSQLData AnalysisGCPHadoopMachine LearningNumpyPyTorchAlgorithmsAzureData analysisData sciencePandasSparkTensorflowAnalytical Skills

Posted 2024-10-15
Apply
Apply
🔥 Lead Data Scientist
Posted 2024-09-24

📍 United States

🔍 Music streaming

🏢 Company: Napster

  • PhD in Computer Science, Statistics, or a related field (or equivalent experience).
  • 5+ years of experience as a Data Scientist or similar role.
  • Proven experience in leading and mentoring a team of data scientists.
  • Strong expertise in machine learning algorithms (classification, regression, recommendation systems, etc.).
  • Experience with natural language processing techniques.
  • Proficiency in data wrangling, cleaning, and manipulation.
  • Excellent communication and collaboration skills.
  • A passion for music and a strong understanding of the music streaming industry (a plus).
  • Experience working remotely and effectively collaborating with globally distributed teams.

  • Build and mentor a team of junior data scientists, fostering a collaborative and learning environment.
  • Define the technical vision and roadmap for the data science team, aligning it with overall product goals.
  • Design and develop advanced search algorithms, including user vector-based models and AI-powered search functionalities.
  • Develop and implement machine learning models to personalize user experience, improve content recommendations, and optimize platform performance.
  • Conduct rigorous data analysis to identify trends, understand user behavior, and extract valuable insights.
  • Collaborate with product managers, engineers, and designers to define data requirements and translate business objectives into actionable data science projects.
  • Communicate complex technical concepts to a non-technical audience in a clear and concise manner.
  • Stay up-to-date with the latest advancements in data science, machine learning, and natural language processing, and explore opportunities to integrate new technologies.
  • Develop and maintain strong data pipelines to ensure data quality and accessibility.
  • Champion best practices in data science methodology and documentation.

LeadershipData AnalysisMachine LearningAlgorithmsData analysisData scienceCollaboration

Posted 2024-09-24
Apply

Related Articles

Remote Job Certifications and Courses to Boost Your Career

August 22, 2024

Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?

How to Balance Work and Life While Working Remotely

August 19, 2024

Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.

Weekly Digest: Remote Jobs News and Trends (August 11 - August 18, 2024)

August 18, 2024

Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.

How to Onboard Remote Employees Successfully

August 16, 2024

Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.

Remote Work Statistics and Insights for 2024

August 13, 2024

The article explores the current statistics for remote work in 2024, covering the percentage of the global workforce working remotely, growth trends, popular industries and job roles, geographic distribution of remote workers, demographic trends, work models comparison, job satisfaction, and productivity insights.