• Lead large-scale projects from ideation through enterprise impact. • Apply a broad problem-solving toolkit to develop both creative and practical solutions. • Evaluate trade-offs between out-of-the-box and customized solutions, optimizing for speed and effectiveness. • Implement scalable, bug-free, and well-tested solutions that reduce complexity rather than add to it. • Understand business challenges and deliver results that meaningfully solve key problems. • Proactively engage with stakeholders across all levels to align data science efforts with business needs. • Identify and mitigate risks early, preventing roadblocks that could arise later. • Serve as a trusted advisor and thought partner, ensuring projects are delivered on time and aligned with business objectives. • Mentor and collaborate with peers, improving team-wide problem-solving capabilities and technical execution.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves producing innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger. - Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. - Use a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data. - Work with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data. - Communicate clearly with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional ML. - Document findings, create reports, and present results to stakeholders. - Design and develop job aids and guidance documentation for best practices of responsible AI. - Develop Python scripts to automate testing processes and analyze results. - Help identify vulnerabilities related to PII/PHI exposure in AI interactions. - Maintain test data sets and contribute to improving testing methodologies. - Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work. - Provide mentorship and guidance to colleagues, fostering a culture of continuous learning and improvement. Qualifications - 3+ years of experience with the full ML system development, deployment, and maintenance lifecycle. - 3+ years of experience working with advanced NLP models and methodologies. - 3+ years of experience with Python and ML frameworks (e.g., scikit-learn, Pandas, Numpy). Requirements - Deep understanding of ethical considerations and fairness in AI model development. - Proven solid analytical thinking and problem-solving abilities. - Proven excellent written and verbal communication skills. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements). Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves building our marketing intelligence engine as a Senior Data Scientist. You will connect the dots from customer discovery to revenue. This is a high-visibility role for a builder-operator. You'll own the full technical lifecycle—architecting models, tuning for precision, and ensuring our intelligence layers run reliably every day! What You Will Be Doing - Intelligence Systems: Own the hands-on development of our IMA (Integrated Measurement Attribution) framework. You will merge macro-trends with micro-user journeys into a single source of truth. - Predictive Frameworks: Build and tune the models that forecast growth. From lead scoring to churn prediction, you’ll develop the frameworks that tell us where our next customer is coming from. - Account-Based Intelligence: Architect models that decode the B2B journey. You will synthesize lead-to-account signals and revenue motions across PLG and Sales-Led funnels. - Causal Inference: Isolate the true lift of marketing spend. You’ll build "always-on" incrementality frameworks to guide our next dollar of investment. - Full-Stack Ownership: Manage the model lifecycle from prototype to production. We value engineering excellence, GitHub version control, and auditable logic! Qualifications - 5+ years of Data Science experience (or Master’s + 3 years) with a track record of autonomously leading complex projects to production. - 5+ years shipping complex predictive models to production autonomously. You know how to build, tune, and support live systems. - Deep knowledge of lead-to-account mapping, buying groups, and the transition from product usage to enterprise sales. - Expert-level Python and SQL. You take pride in writing clean code that your peer community can easily follow! - Can you translate complex statistical outputs into a clear story for executive leaders? Bonus Points - Experience with Google BigQuery, Fivetran, dbt, or Tableau. - Experience with frameworks like Google Meridian or Meta Robyn. - Interest in LLMs and Agentic workflows to drive signal resilience and conversational analytics. Compensation Compensation for this role is in the form of base salary. This role does not have a variable compensation component. - The typical starting salary range for this role is: $133,100 — $210,600 USD. - The typical starting salary range for this role in select locations is: $159,900 — $252,900 USD. Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Minimum of 16 weeks of parental leave. Additional Information Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Democratic National Committee’s Tech Team is seeking a States Analytics Lead to support our ongoing mission of empowering Democrats up and down the ballot to win more elections by running effective, data-driven campaigns. In this role, you will be a people and technical lead. You will be responsible for coaching and developing the states analytics team and managing strategic analytics projects to completion. You’ll be part of the Data team and report into our Analytics Lead. In this position you will… - Lead a team of Analysts working to support coordinated campaigns across the country, as well as the DNC’s national organizing efforts and voter registration program. - Work closely with the DNC’s Organizing team to develop a reporting roadmap for the DNC’s states and voter registration programs; work with Analysts to develop and maintain these reports over the course of the cycle. - Work with Analysts to communicate national expectations on topics such as voter contact universes; work with the Organizing team to hold state Data teams accountable to those expectations, including creating scalable systems and documentation for evaluation. - Lead communication of regular updates from the states analytics team internally during cross-departmental DNC meetings, as well as externally with sister committees, coordinated campaigns, and other stakeholders. - Collaborate with other leaders across the DNC Data & Tech Teams; identify opportunities to build sustainable infrastructure and efficiently address shared challenges. Qualifications - You have at least two cycles of experience working on a large scale statewide coordinated campaign or similar, and at least one cycle of experience as a Coordinated Data Director. - You’ve managed analytics or equivalent data humans, including technical mentorship, professional coaching and culture building; bonus points if you’ve managed a distributed team and are comfortable collaborating and coordinating work happening around the country. - You have experience working collaboratively with a diverse group of stakeholders; you are comfortable working across teams with a variety of experiences – balancing input from multiple stakeholders, prioritizing among competing priorities, and building consensus around the outputs of your work. - You’re impact-oriented and understand the role data can play in strategic program planning; you think of analysis through the lens of the decisions it will inform, and are deeply focused on asking the right questions before you dive into the weeds of any particular analysis. - You have strong written and verbal communication skills, and experience explaining technical concepts to both technical and non-technical audiences. - You have a deep familiarity with political data like state voter files, election results, or voter contact data, and fluency in helping campaign leadership understand how to leverage this data to run effective programs; experience working with DNC tools such as Votebuilder, Phoenix, Mobilize, and Scale to Win is a bonus. - You have strong technical skills in data analysis and visualization; You are an expert SQL user, comfortable wrangling big data sets to extract meaning. You’re experienced telling stories with data using tools like Google Data Studio, Tableau, Periscope, or Looker. - You have experience doing voter outreach or community organizing, either professionally or as a volunteer – bonus points if you’ve knocked doors, made phone calls, sent text messages, or organized your own friends and family to vote. - You have worked in modern cloud data environments (GCP, BigQuery, Airflow, dbt, etc.). Requirements - You may also have a strong understanding or experience with ETL pipelines and data transformation tools like dbt. - Code comfortably in Python, R, or another programming language, or be able to quickly learn new languages or tools to drive impact. - Have experience working with vendors including relationship management, technical validation and budgetary oversight. Salary The salary for the States Analytics Lead position is $114,000 on an annualized basis, commensurate with experience and qualifications. This position is not eligible for overtime wages. This is a full-time, exempt position, that may require work on weekends. Benefits - Generous paid time off, including federal holidays and open leave. - Health and dental insurance for employee and dependents; 90% paid by the DNC, 10% paid by employee. - Supplementary vision plans available to employees for purchase. - Up to a 5% employer match DNC 401(k) plan. - Pre-tax flexible spending account benefits available to employees and dependents.