The good faith base salary [or wage] range for this role at the time of posting and hire is $190,000 – $215,000 per year. Actual compensation offered will be determined based on a number of factors, including but not limited to a candidate’s qualifications, skills, competencies, experience, and geographic location.
Responsibilities
Set the vision and own the roadmap
Partner with product and technology organization to define marketing technology and operations strategy
Translate business goals into a prioritized roadmap with clear ROI
Partner with technology and marketing teams to identify, evaluate and implement martech/adtech platforms
Lead lifecycle marketing strategy and execution for Auction.com’s marketplace, driving engagement, education, and transactions across owned and paid channels.
Compensation
The good faith base salary [or wage] range for this role at the time of posting and hire is $180,000 – $190,000 per year.
Responsibilities
Partner with demand generation and upper-funnel programs to create a seamless customer experience through the middle and lower funnel stages.
Manage end-to-end journeys across paid, owned, earned, and syndication channels to nurture, educate, and convert high-intent buyers.
Apply a customer-centric approach to audience and segmentation analytics.
Partner with the data science team to leverage models that inform campaign targeting, messaging, nurturing, and conversion strategies.
Develop differentiated approaches for key buyer personas, including first-time buyers and experienced investors.
Requirements
Bachelor's degree or equivalent practical experience
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.
Responsibilities
Analyze diverse and complex data sources to identify spatial, temporal, behavioral, and other patterns, relationships, trends, anomalies, and indicators of criminal or nefarious activity.
Transform, develop, and analyze raw and structured data to generate timely and actionable findings for operational missions.
Apply analytical methodologies, investigative techniques, and specialized tools to identify previously unknown actors, activities, relationships, and patterns in support of threat identification, interdiction, force protection, criminal investigations, and prosecution.
Strategic and technically fluent sourcer to support Enterprise Technology & Experience (ETX) talent acquisition, focusing on AI, Data, Cloud and Cybersecurity roles.
Compensation
$95,100-$124,800
At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees.
Responsibilities
Develop robust sourcing strategies and market insights for current and future hiring needs
Serve as a subject‑matter expert on the technology talent market
Optimize sourcing approaches, pipeline management and talent‑community engagement
Translate AI and technology hiring needs into targeted sourcing strategies
Design and execute creative sourcing strategies to reach scarce AI talent
A full-time, assistant rank, non-tenure track, renewable faculty position focused on analytics and data science, involving teaching at the master's level, curriculum development, and professional industry engagement.
Apply advanced analytical methodologies to complex data and evolving mission requirements to support government customers in counterterrorism, trafficking interdiction, threat mitigation, and national security missions.
Locations (3)
Washington, District of Columbia, United States
Virginia, United States
Maryland, United States
Compensation
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.
Responsibilities
Analyze diverse and complex data sources to identify spatial, temporal, behavioral, and other patterns, relationships, trends, anomalies, and indicators of criminal or nefarious activity.
Transform, develop, and analyze raw and structured data to generate timely and actionable findings for operational missions.
Manager role leading a team of 10-15 engineers and data scientists within the Product Support team, responsible for daily operations and talent development.
Be responsible for hiring, development, training, and retention of section talent (team of 10-15 engineers and data scientists).
Provide leadership and direction to team members and manage employee performance (including engagement strategies for higher performers and corrective actions for lower performers).
Responsible for day-to-day operation of the organization including employee movement and balancing of resources among programs and resolving critical/urgent program/technical issues.
Promote the professional development of the Systems Engineering team and foster a collaborative culture that sustains the momentum around employee engagement and inclusion, affordability, value growth and continuous improvement.
Lead Data Scientist Vice President focused on cost-based analytics, business intelligence, and GenAI applications within the Merchant Services team.
Compensation
competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity
Responsibilities
Create innovative solutions that make a difference for our customers, clients, and employees.
Collaborate with experienced data scientists and peer analysts to develop new cost-based analytics and GenAI applications.
Work on agile teams to support data-driven decision-making and manage stakeholders.
Lead/partner on the creation of virtual assistants and workflow automations using multi-agent AI patterns where appropriate.
Translate business problems into end-to-end AI solutions, including problem framing, data requirements, model approach, evaluation, and delivery.
Requirements
Bachelor’s or Master’s degree in analytics, computer science, statistics, mathematics or similar technical or quantitative field
Lead the technical direction and evaluation of GM’s autonomous driving systems, turning data insights into actionable recommendations for engineering and leadership.
Compensation
The base salary range for this role is $250,000 to $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Responsibilities
Set the multi-year technical direction for evaluation
Invent new ways to judge overall driving behavior
Define how we evaluate subsystems such as perception, prediction, planning, and localization
Trace bad driving back to the subsystem or interaction that caused it
Define how we tell whether a software or model change actually improves driving
Requirements
Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Statistics, Data Science, or a related field, or equivalent practical experience
Lead statistical design and analysis for real-world evidence studies using large healthcare datasets to support regulatory submissions, reimbursement, and safety signals.
Responsibilities
Lead statistical design and analysis for real-world evidence studies using large healthcare datasets.
Translate stakeholder questions into study protocols and statistical analysis plans that address bias and limitations.
Manage study execution, including timelines, budgets, quality control.
Develop and review analytic code ensuring reproducibility and quality using programming tools as R or SAS.
Communicate results clearly to internal teams and external audiences, supporting publications and dossiers.
Develop and deliver tailored analytical products using charts, maps, timelines, visualizations, infographics, written assessments, and briefings to support operational decision-making.
Work directly with operational customers and government leadership to understand mission requirements, refine analytical approaches, communicate findings, and provide analytic reach-back support.
Requirements
Bachelor’s degree in a relevant discipline such as data science, criminal justice, intelligence analysis, geography, computer science, or a related field, or equivalent relevant experience.
Nice to have: Master’s degree
Nice to have: experience in law enforcement, military, or federal government
Apply analytical methodologies, investigative techniques, and specialized tools to identify previously unknown actors, activities, relationships, and patterns in support of threat identification, interdiction, force protection, criminal investigations, and prosecution.
Develop and deliver tailored analytical products using charts, maps, timelines, visualizations, infographics, written assessments, and briefings to support operational decision-making.
Work directly with operational customers and government leadership to understand mission requirements, refine analytical approaches, communicate findings, and provide analytic reach-back support.
Requirements
Bachelor’s degree in a relevant discipline such as data science, criminal justice, intelligence analysis, geography, computer science, or a related field, or equivalent relevant experience
Nice to have: Master’s degree
Nice to have: experience in law enforcement, military, or federal government
Provide clear assignments, helps employees connect their efforts to the bigger picture, creates an inclusive work environment characterized by mutual respect and the valuing of differences, and builds a culture that motivates employees to their highest levels of performance.
Requirements
Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline
Master’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline
Nice to have: Excellent communication skills
Nice to have: Proven leadership skills
Nice to have: Prior Functional Management Experience
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