Senior Data Scientist, Ads Job at Reddit

Senior Data Scientist - Literature

Help bring science to life and join a leading pharmaceutical company to play a k...

Location

Switzerland , Basel

Salary:

Not provided

Proclinical

Expiration Date

Until further notice

Requirements

Degree in medicine, pharmacy, or natural sciences
Experience in information science, particularly within pharmacovigilance and drug development
Strong knowledge of medicine, drug development, and biomedical literature databases
Proficiency in scientific data evaluation, interpretation, and synthesis
Excellent written and verbal communication skills, with the ability to explain search strategies effectively
Expertise in classical text searching and familiarity with literature sources and databases
Ability to build strong working relationships in a cross-functional, international environment
Self-motivated, detail-oriented, and capable of prioritizing tasks effectively
Fluent in English, both written and spoken

Job Responsibility

Conduct ad-hoc literature searches in biomedical databases to identify adverse drug reactions and risks associated with medicinal products and devices
Develop, test, document, and maintain search profiles for various safety and efficacy reports, including DSURs, PBRERs, and MDIRs
Ensure timely and accurate delivery of search results while adhering to standard operating procedures
Collaborate with internal stakeholders to define search criteria and maintain effective relationships
Review and validate the plausibility of literature search results
Actively contribute to the Safety Literature Group by sharing knowledge and best practices
Create and deliver training materials on retrieval and reporting topics for team members and stakeholders
Proactively identify opportunities to improve processes, methods, and technologies
Address and escalate any issues related to literature searches as needed

Senior Data Scientist, Decisions

Rocket Money is looking for a Senior Data Scientist to drive marketing efficienc...

Location

United States , San Francisco, CA; Washington, D.C.; New York City, N.Y.; Silver Spring; Miami; Denver

Salary:

180000.00 - 220000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data science
Proficiency in SQL
Proficiency in at least one scripting language
Proficiency in statistical modeling
Proficiency in engineering scalable experimentation solutions
Expert level experiment design and assessment skills
Direct experience building production grade tooling for operational use by teams of internal decision makers
Experience driving marketing and product strategy with experimental and observational data
Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
Proven ability to collaborate across teams and communicate technical insights effectively

Job Responsibility

Lead internal marketing effectiveness measurement and estimation approaches
Lead projects from start to finish
Design and conduct experiments to estimate the impact of marketing and product strategies
Lead a systematic marketing and product experimentation program
Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers
Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines
Build, test, and deliver internal facing predictive tools
Effectively design and assess experiments for a variety of user facing experiences
Mentor other members, participate in code reviews, and ensure quality in production systems
Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine

What we offer

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)

Fulltime

Data Scientist

Altamira Technologies has a long and successful history providing innovative sol...

Location

United States , McLean, VA; Chantilly, VA

Salary:

Not provided

Altamira Technologies

Expiration Date

Until further notice

Requirements

Knowledge of Defense intelligence all source analysis
Operations research / systems engineering and analysis Intelligence community databases and tools
non-Defense intelligence analysis
structured analytic techniques
text exploitation and analytics
Expertise in advanced tools such as: Mixed Mathematical Capabilities: R Software w/extensive variety of modules (plugins - statistics, modeling, visualization)
Text Analytics - IN-SPIRE, Jigsaw, Text/Data - Net Owl, Gate
Mathematics Modeling - MATLAB
A working knowledge with day-to-day data analysis tools: Spreadsheet / Data - Excel s/Power plugins, Tableau
Document Development-Word, MS Publisher

Job Responsibility

Responsible for overall data science and data characterization technologies and will report to the on-site program manager
Assess technology development and evaluate its operational usefulness and eventually demonstrate the technology capability through test and evaluation
Results must be documented in writing and communicated both verbally and through multi-media methods to senior management

New

Principal Data Scientist, Ads

Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scie...

Location

United States

Salary:

268000.00 - 365100.00 USD / Year

Expiration Date

Until further notice

Requirements

Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale
Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline
For M.S. holders: 12+ years of industry experience in applied science, data science, or machine learning engineering roles
For Ph.D. holders: 8+ years of relevant experience applied science, data science, or machine learning engineering roles
Advanced proficiency in statistical programming (Python or R) and SQL
Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques
Strong understanding of experimental design, causal inference, or A/B testing methodologies
Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
Experience working in fast-paced, ambiguous environments with cross-functional teams
Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction, statistical rigor, and machine learning best practice

Job Responsibility

Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance
Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue
Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit's strategic investments
Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams
Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the economics of marketplace dynamics
Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics, robust measurement methodologies, and collaborate deeply with cross-org XFNs to align on strategic goals and translate insights into tangible action
Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists, influencing technical and statistical direction across the entire product and engineering organization, and championing innovation in ad systems through advanced quantitative techniques

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

Fulltime

Data Scientist

Altamira is searching for a Data Scientist in Chantilly, VA. Altamira Technologi...

Location

United States , McLean, VA; Chantilly, VA

Salary:

Not provided

Altamira Technologies

Expiration Date

Until further notice

Requirements

Knowledge of Defense intelligence all source analysis
Operations research / systems engineering and analysis Intelligence community databases and tools
non-Defense intelligence analysis
structured analytic techniques
text exploitation and analytics
Expertise in advanced tools such as: Mixed Mathematical Capabilities: R Software w/extensive variety of modules (plugins - statistics, modeling, visualization), Text Analytics - IN-SPIRE, Jigsaw, Text/Data - Net Owl, Gate, and Mathematics Modeling - MATLAB
A working knowledge with day-to-day data analysis tools: Spreadsheet / Data - Excel s/Power plugins, Tableau, and Document Development-Word, MS Publisher
An understanding and experience with visual and geospatial analysis is an added benefit for the senior data scientist: Geospatial Analysis - OpenGeo, ArcGIS, GeoTime, Clavin, Visual Analytics - Vortek (Starlight), Visualization - Gephi, Word cloud tools, and Graphics Production - PowerPoint, Adobe Creative Suite, Photoshop, HTML5
5-10 years of experience or an advanced degree MS / Ph.D.
Three years of experience in the intelligence community

Job Responsibility

Responsible for overall data science and data characterization technologies and will report to the on-site program manager
Assess technology development and evaluate its operational usefulness and eventually demonstrate the technology capability through test and evaluation
Results must be documented in writing and communicated both verbally and through multi-media methods to senior management

Fulltime