Apply

Principal data scientist

Posted 3 days agoViewed

View full description

💎 Seniority level: Principal, 5+ years

🏢 Company: Elevation Capital👥 11-50ConsumerLogisticsFinancial ServicesVenture CapitalEnterprise

🗣️ Languages: English

⏳ Experience: 5+ years

Requirements:
  • 5+ years of proven experience in data analysis, SQL query writing, and feature engineering for both structured and unstructured data.
  • Strong proficiency in using machine learning algorithms, including model selection, training, and evaluation.
  • Strong coding skills in Python for data preprocessing, cleaning, and running machine learning models.
Responsibilities:
  • Collaborate with stakeholders to understand business problems and translate them into data-driven problem statements.
  • Leverage Large Language Models (LLMs) to generate features from unstructured data (e.g., text) to enhance machine learning models.
  • Write and optimize SQL queries to manipulate, clean, and analyze structured data from various databases.
  • Use basic coding skills (e.g., Python) to handle data preprocessing, transformation, and running ML models independently.
  • Develop, train, and evaluate machine learning models, ensuring the correct model is selected for each problem.
  • Perform model validation, fine-tuning, and feature engineering to optimize performance
  • Communicate complex analytical findings in clear, concise ways to both technical and non-technical stakeholders.
  • Stay updated with the latest developments in LLMs, ML, and AI technologies to incorporate new techniques into solutions.
Apply

Related Jobs

Apply

📍 Mexico

🔍 Retail & CPG

🏢 Company: Tiger Analytics👥 1001-5000AdvertisingConsultingBig DataNewsMachine LearningAnalytics

  • Master’s or PhD degree in Data Science, Statistics, Computer Science, or a related field.
  • 8+ years of experience in data science, analytics, or a related field, with a strong focus on machine learning.
  • Extensive experience with key programming languages such as Python and R, as well as data manipulation and visualization libraries.
  • Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is preferred.
  • Solid understanding of machine learning algorithms and statistical techniques, including regression, classification, clustering, and time-series analysis.
  • Strong problem-solving skills with the ability to think critically and determine innovative data-driven solutions.
  • Excellent written and verbal communication skills, with the ability to convey complex information clearly.
  • Demonstrated ability to lead projects and work collaboratively within a team environment.
  • Experience in handling large datasets and using data visualization tools (e.g., Tableau, Power BI).
  • Lead statistical analysis and machine learning projects from conception through deployment, ensuring alignment with business objectives.
  • Develop models and analyses tailored to client needs and make actionable recommendations based on results.
  • Articulate and present complex data findings in a clear and accessible manner to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to leverage data insights and foster a data-driven culture.
  • Mentor junior data scientists and provide leadership on best practices in data science methodologies.
  • Stay updated on industry trends and emerging technologies in data science to drive innovation and enhance service offerings.
  • Manage multiple projects and teams, ensuring timely delivery of high-quality results.
Posted 19 days ago
Apply
Apply

📍 United States

🧭 Full-Time

💸 165000.0 - 210000.0 USD per year

🔍 Software Development

🏢 Company: Smartsheet👥 1001-5000💰 $3,200,000,000 Post-IPO Debt 6 months ago🫂 Last layoff about 2 years agoSaaSEnterpriseSoftware

  • Advanced degree in quantitative field and 10+ years of experience (or 12+ years of experience without the degree)
  • Exceptional analytical skills for problem solving; descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis
  • Expert in SQL and in using data programming languages and visualization tools (ex. R/Python, Tableau)
  • Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction, recommender systems, and unstructured text (NLP) analytics
  • B2B experience, strong business acumen, and understanding of customer problems and solutions
  • Experience operationalizing data to meaningfully impact Sales, Customer Support, and/or Customer Success strategy and execution
  • Strong track record of forming effective cross-functional partnerships
  • Expert in communicating results, insights and recommendations, leveraging strong narratives and compelling storytelling with data to senior leaders
  • Ability to research and learn new technologies, tools, and methodologies
  • Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
  • Ability to coach and mentor junior data scientists
  • Experience advising and leading analytical solutions to increase and optimize business outcomes
  • Understand our customer needs, lead and design metrics to analyze how our customers are using product and influence Smartsheet’s go-to-market strategy
  • Partner with Customer Outcomes Journey and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
  • Develop solution and engagement analytics to identify improvement opportunities and showcase value realization to customers.
  • Leverage Applied AI and machine learning techniques to identify growth opportunities, predict churn, understand the overall customer health and drive actionable recommendations
  • Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations to Influence and execute company level strategic decisions
  • Effectively present work to partner with senior stakeholders and provide data-based recommendations to enable data-driven decisions
  • Advise and lead strategy for unique, undefined, work; coordinating activity of project participants
  • Research and incorporate machine learning models, NLP techniques, and AI-driven analytics to enhance customer intelligence and predictive insights
  • Lead team efforts to research and incorporate new tools and technologies
  • Mentor, support and develop other BI team members
  • Support other duties as needed

SQLBusiness IntelligenceData AnalysisMachine LearningTableauCommunication SkillsAnalytical SkillsData visualizationStakeholder managementData modelingData analytics

Posted 20 days ago
Apply
Apply
🔥 Principal Data Scientist (PhD)
Posted about 2 months ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Jerry

  • PhD in Physics or related field
  • 5+ years of experience building and deploying models from scratch.
  • Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch.
  • Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions.
  • Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives.
  • Develop and architect advanced machine learning models to address critical business challenges and drive company-wide strategic initiatives
  • Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance
  • Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks
  • Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems
  • Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry

PythonData AnalysisMachine LearningPyTorchAlgorithmsData engineeringTensorflow

Posted about 2 months ago
Apply
Apply

📍 United States, Canada

🧭 Full-Time

💸 225000.0 - 265000.0 USD per year

🔍 Mineral exploration

🏢 Company: KoBold Metals👥 101-250💰 $491,455,627 Series C 6 months agoArtificial Intelligence (AI)MineralMiningSoftware

  • An advanced degree in the physical sciences, engineering, computer science, or mathematics.
  • 10 years of post-degree work experience as a data scientist or data engineer.
  • Extensive experience with Python’s data science packages and general software engineering practices.
  • Familiarity with collaborative software development (git) and software engineering best practices.
  • Proficiency in SQL and familiarity with non-relational databases.
  • Experience with cloud computing resources.
  • Skills in building predictive models and evaluating their results.
  • Experience working with a broad range of data types.
  • Skills in geospatial analyses and visualizations.
  • Broad skills in and knowledge of applied statistics.
  • Substantial understanding of Machine Learning algorithms.
  • Help develop KoBold’s proprietary software exploration tools.
  • Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
  • Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
  • Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
  • Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data.
  • Present to and collaborate with our external partners and stakeholders.

PythonSQLCloud ComputingData AnalysisMachine LearningData visualization

Posted 4 months ago
Apply

Related Articles

Posted about 1 month ago

Why remote work is such a nice opportunity?

Why is remote work so nice? Let's try to see!

Posted 7 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?

Posted 8 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.

Posted 8 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.

Posted 8 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.