Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Lead Data Scientist

Posted 8 days agoViewed

View full description

💎 Seniority level: Lead, 8+ years

📍 Location: Egypt, Saudi Arabia, Yemen, Jordan

🔍 Industry: Financial Services

🏢 Company: Xenon7

⏳ Experience: 8+ years

Requirements:
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field; a Ph.D. is a plus.
  • Minimum of 8+ years of experience in data science, including at least 2+ years in a leadership role guiding data teams and strategy.
  • Proven expertise in Python with proficiency in NumPy, SciPy, and XGBoost.
  • Strong background in traditional machine learning methods, including regression, classification, and clustering.
  • Experience with databases, query optimization, and data pipeline development.
  • Hands-on experience with deep learning frameworks such as Keras, PyTorch, or TensorFlow.
  • Solid understanding of data architecture and ETL/ELT processes.
  • Demonstrated leadership experience, including mentoring and guiding teams.
Responsibilities:
  • Design, build, and optimize data pipelines for analytics and machine learning workflows.
  • Ensure high data quality, integrity, and availability while working with large datasets.
  • Develop and implement machine learning models using regression, classification, and clustering techniques.
  • Apply libraries like NumPy, SciPy, and XGBoost to solve business problems.
  • Collaborate with teams to define data requirements aligned with business goals.
  • Mentor a team of data professionals and drive best practices.
  • Optimize query performance and database structures for efficient data processing.
  • Explore and implement deep learning techniques with Keras, PyTorch, or TensorFlow.
Apply

Related Jobs

Apply
🔥 Lead Data Scientist, Analytics
Posted 1 day ago

🧭 Full-Time

💸 170000.0 - 190000.0 USD per year

🔍 Mental health care

  • Master’s degree in a relevant quantitative field (e.g., data science, statistics, economics, operations research) or equivalent industry experience.
  • 4-8 years of experience as a data scientist or product analyst supporting product development.
  • Expertise in SQL.
  • Proficiency in either R or Python for data analysis.
  • Proven track record of driving cross-functional initiatives and delivering significant impact.
  • Extensive experience applying statistical analysis (e.g., hypothesis testing and regression analysis).
  • Experience in designing and analyzing A/B testing experiments.
  • Ability to turn ambiguous business problems into clearly defined data science solutions.
  • Effective communication skills to drive consensus and influence actions.
  • Results-driven with a passion for product development.
  • Potential interest in transitioning to a management role.
  • Generate insights through statistical and causal analysis to inform product strategy and prioritization.
  • Identify opportunities to improve client conversion and marketing efficiency.
  • Define metrics and OKRs aligning team output to company goals.
  • Advise senior leadership on key strategic decisions.
  • Design, execute, and analyze A/B testing experiments to validate product hypotheses.
  • Communicate technical insights effectively to influence decision making.
  • Champion a data-driven decision culture.
  • Mentor junior data scientists.
Posted 1 day ago
Apply
Apply
🔥 Lead Data Scientist, Analytics
Posted 4 days ago

📍 United States

🧭 Full-Time

💸 170000.0 - 190000.0 USD per year

🔍 Mental health care

🏢 Company: Alma👥 251-500💰 $130,000,000 Series D over 2 years ago🫂 Last layoff 4 months agoMental HealthMedicalWellnessHealth Care

  • You have a Master’s degree in a relevant quantitative field (e.g. data science, statistics, economics, operations research) or equivalent in industry experience.
  • You have 4-8 years of experience as a data scientist or product analyst supporting product development.
  • You are an expert in SQL.
  • You are proficient in either R or Python for data analysis.
  • You have extensive experience applying statistical analysis (e.g. hypothesis testing and regression analysis) to draw conclusions from data.
  • You have experience designing and analyzing A/B testing experiments.
  • You can turn ambiguous business problems into clearly defined data science solutions.
  • You can produce exec-ready documents and presentations.
  • Generate insights through statistical and causal analysis to inform product strategy and prioritization.
  • Proactively identify opportunities to improve client conversion and marketing efficiency.
  • Define metrics and OKRs that align team output to company goals.
  • Advise senior leadership on key strategic decisions.
  • Design, execute, and analyze A/B testing experiments to validate product hypotheses.
  • Communicate technical insights effectively to influence decision making.
  • Champion a data-driven decision culture.
  • Mentor junior data scientists.

PythonSQLData AnalysisData scienceAnalytical SkillsA/B testing

Posted 4 days ago
Apply
Apply
🔥 Lead Data Scientist, Business Analytics
Posted 12 days ago

📍 United States, Canada, Philippines

💸 168700.0 - 242600.0 USD per year

🔍 Home services marketplace

🏢 Company: Thumbtack👥 1001-5000💰 $275,000,000 Series G over 3 years ago🫂 Last layoff about 2 years agoHome ServicesLocalService IndustryProfessional Services

  • BA/BS degree, preferably in Economics, Business, Math, Statistics, or Computer Science.
  • 6+ years of experience in a highly analytical role, preferably in tech.
  • Proficiency using SQL & Python/R to analyze large data sets.
  • Exemplary analytical problem solving skills, including solid statistics foundation, strong business judgment, ability to navigate ambiguity, and the ability to identify and synthesize insights from analysis.
  • Ability to work with company executives to understand the company’s business needs and drive decisions.
  • Strong communicator, attentive listener, and compelling explainer.
  • Define, monitor, and report on the key metrics that measure Thumbtack’s success.
  • Lead business performance analysis and reporting to inform leadership of emerging risks and opportunities.
  • Conduct deep dive analysis to answer key questions that are critical to Thumbtack’s future strategy.
  • Support and improve company revenue forecasting model, and forecasting/planning process.
  • Partner effectively with teams across the company, including Product, Engineering, Marketing, Operations, Finance, as well as Thumbtack’s leadership team.
  • Contribute to our team and company data culture through peer collaboration, training, coaching, and more.

PythonSQLData AnalysisData visualization

Posted 12 days ago
Apply
Apply
🔥 Lead Data Scientist
Posted 26 days ago

📍 US

🔍 Automotive

  • 8+ years of professional experience working with large datasets.
  • 8+ years of experience with statistical programming software, preferably Spark and Python.
  • 8+ years of experience with database software like RedShift, Hive, SQL, and MySQL.
  • Master’s Degree in Statistics, Data Science, Economics, or a related field.
  • 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 for data science initiatives.
  • Create relatable presentations for technical predictions.
  • Document machine learning processes.
  • Deep expertise in feature engineering and AI/ML model building.
  • Collaborate with technology teams to improve processes.
  • Develop analytics with the product team.
  • Lead PI planning with limited supervision.
  • Create visual reports in Tableau.
  • Conduct ad-hoc data analysis and reporting.

AWSPythonSQLMachine LearningTableauData scienceSparkData visualization

Posted 26 days ago
Apply
Apply
🔥 Lead Data Scientist – Cloud & Martech
Posted 26 days ago

📍 India

🔍 Digital marketing

  • Have one or more Google Cloud Platform (GCP) technical certifications.
  • Extensive hands-on experience with GCP services, Vertex AI, BigQuery ML, and AutoML.
  • Proficient in SQL, Python, and frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Experience with modern data transformation and orchestration tools like dbt and Dataform.
  • Familiarity with datasets and APIs from platforms like Meta, Google Ads, and Salesforce Marketing Cloud.
  • Working knowledge of data visualization tools such as Looker, Tableau, and PowerBI.
  • Leadership and mentoring skills to foster a culture of innovation.
  • Lead the design, development, and deployment of machine learning models to enhance campaign effectiveness.
  • Build and optimize advanced analytics frameworks on GCP using Vertex AI and other tools.
  • Collaborate with cross-functional teams for predictive analytics opportunities.
  • Establish automated workflows for machine learning model training, testing, and monitoring.
  • Develop scalable feature engineering pipelines for various marketing use cases.
  • Integrate and analyze marketing data from sources like Google Ads and CRM systems.
  • Implement cloud-based data architectures for large-scale data processing.
  • Advocate for best practices in MLOps to ensure machine learning scalability.
  • Mentor team members in advanced data science techniques.
  • Research and experiment with new technologies for marketing science.

PythonSQLETLGCPMachine LearningPyTorchTableauTensorflowData visualization

Posted 26 days ago
Apply
Apply
🔥 Lead Data Scientist - Retail/eCommerce
Posted about 2 months ago

📍 U.S., Canada

🔍 Retail/eCommerce

  • Advanced degree in Data Science, Statistics, Computer Science, or a related field preferred, but not required.
  • Proven experience in data science, preferably in the retail or e-commerce sector.
  • Proven experience in developing and maintaining data models.
  • Strong expertise in statistical analysis, machine learning, and predictive modeling.
  • Proficiency in programming languages including SQL, Python.
  • Proficiency with data visualization tools (we use Tableau and MetaBase).
  • Experience with big data tools and platforms (we use Google BigQuery).
  • Excellent communication and collaboration skills.
  • Own the development of data science and analytics infrastructure, tools, and best practices.
  • Analyze large, complex data sets to uncover hidden patterns, market trends, and customer preferences.
  • Develop and maintain customer-facing data and analytics visualization tools.
  • Develop predictive models and machine-learning algorithms to forecast sales and assist with marketing needs.
  • Collaborate with cross-functional teams to translate data insights into actionable business strategies via internal dashboards and memos.
  • Present findings and recommendations to stakeholders in a clear, concise manner.
  • Continuously monitor and assess the effectiveness of data-driven initiatives.
  • Stay abreast of industry trends and advancements in data science and retail analytics.

PythonSQLMachine LearningTableauAlgorithmsData scienceCollaboration

Posted about 2 months ago
Apply
Apply
🔥 Lead Data Scientist
Posted 3 months ago

🧭 Full-Time

🔍 Fraud Detection

  • 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 handling high-cardinality categorical data.
  • Practical experience with semi-supervised and unsupervised learning techniques.
  • Proficiency in exploratory data analysis and creative problem-solving.
  • Strong expertise in real-time ML service development and model-to-service integration.
  • Excellent coding skills in SQL and general software engineering tools.
  • Ability to create MVP real-time web services from ML models.
  • Fluent English for clear communication.
  • Develop data-driven algorithms for Fingerprint Pro Identification Service using ML techniques.
  • Lead the design and implementation of learning approaches to enhance identification capabilities.
  • Mentor team members in machine learning, data science, and analytics.
  • Conduct exploratory data analysis for ad-hoc questions and anomalous data.
  • Design experiments for real-time model inference and training pipeline automation.
  • Promote an engineering-focused, data-driven culture across the team.

Software Engineering

Posted 3 months ago
Apply
Apply
🔥 Lead Data Scientist
Posted 3 months ago

📍 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 scienceAnalytical SkillsProblem SolvingData visualizationA/B testing

Posted 3 months ago
Apply
Apply
🔥 Lead Data Scientist - BA
Posted 3 months ago

📍 Latin America

🧭 Contractor

🔍 Software outsourcing

🏢 Company: Teravision Technologies👥 251-500💰 about 13 years agoAndroidiOSMobile AppsInformation TechnologySoftware

  • 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 SkillsProblem-solving skillsEnglish communication

Posted 3 months ago
Apply
Apply
🔥 Lead Data Scientist
Posted 6 months ago

🧭 Full-Time

💸 167000.0 - 268000.0 USD per year

🔍 Healthcare

🏢 Company: MCG Health

  • 8 years of experience in Data Science or Machine Learning Engineering.
  • Expert level Python: able to write reliable, extensible code.
  • Demonstrated experience translating high level requirements into models in production.
  • Deep experience with Natural Language Processing (NLP).
  • Knowledge of deep learning fundamentals and experience fine-tuning various foundation/backbone models for new tasks.
  • Experience using pretrained LLM’s for zero or few-shot learning tasks.
  • Experience generating visualizations for evaluation of complex systems.
  • Scientific mindset and ability to run experiments to guide model selection and hyperparameter search.
  • Translate desired product functionality into machine learning tasks for data scientists and machine learning engineers.
  • Lead and establish best practices for various research activities including data collection/annotation, literature research, experimentation, and evaluation.
  • Provide technical and project leadership for other Data Scientists.
  • Create and test novel LLM based systems.
  • Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques.
Posted 6 months ago
Apply

Related Articles

Remote Job Certifications and Courses to Boost Your Career

Posted 6 months ago

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

Posted 6 months ago

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)

Posted 6 months ago

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

Posted 6 months ago

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

Posted 6 months ago

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.