Junior Business Scientist, Data Science and Marketing Effectiveness Job at Assessfirst (New York)

Senior Data Scientist in Marketing Analytics

Join Ekimetrics, a leading data science and AI solutions provider, as a Senior D...

Location

United States , New York

Salary:

110000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Bachelor or Master's degree in a quantitative discipline (statistics, applied mathematics, computer science, economics, operations research, business/MBA) from a leading academic institution
3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis)
Digital and Marketing strategy curiosity
Experience with statistical software such as Python, R
Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
Excellent communication skills – especially translating complex technical findings into plain language insights
Demonstrated ability to develop new and lasting client relationships across multiple industries
Team oriented and collaborative working style
Management experience and demonstrated ability to develop talent and build a high performing team

Job Responsibility

Design and scope new projects, ensuring the right analyses are applied to client questions and that the business case is achievable
Lead project teams, ensuring the delivery of highly valuable, effective data science solutions that meet client needs, and driving high client value
Support the development of junior colleagues, actively engaging in transversal topics such as thought leadership, innovation streams, knowledge management, and recruitment
Gather and analyze data, build statistical models, and translate quantitative insights into actionable strategic recommendations
Deliver results as a persuasive story
Support client retention and new business opportunities
Contribute to the development of junior consultants through knowledge sharing and mentorship
Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques

What we offer

Medical insurance, dental, and vision
Emphasis on work-life-balance and 20 PTO days per year and holidays
Dynamic environment with a strong culture and great office in FiDi
Close-knit team with friendly environment, bi-monthly team events
Creative and entrepreneurial start-up environment with strong promotion opportunities
Best-in-class methodologies and cutting-edge technologies in marketing analytics
Unique internal training package with 70+ sessions in our Eki.Academy digital platform
Client exposure up to the executive level in different industries and countries
Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
Generous bonus package

Fulltime

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

140000.00 - 160000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Historical Data Management Lead

Citi’s Risk Management organization oversees risk-taking activities and assesses...

Location

Philippines , Taguig

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Educated to postgraduate level, with an excellent academic record in a quantitative field (e.g. econometrics, statistics, data science, computer science, quantitative finance, mathematics, etc.)
Master or higher degree is strongly preferred
8+ years of relevant working experience (technology or data science area) for Banking or Insurance companies or Consulting clients in these industries
People management experience is a plus
Experience of work coordination of programmers / data scientists (especially in Python & SQL, knowing R, Matlab, VBA)
Experience of one or more of the following is an advantage: Money Market Financial Instruments, Interest Rates Derivatives, Big data, Systems Design, Data Architecture, Process Reengineering, Project Management, Risk and Finance Data Management
Keen interest in banking and finance, especially in the field of Risk Management
Proficiency in inventory control and process improvement
Consistently demonstrates clear and concise written and verbal communication skills
Must be willing to work on EMEA work hours (start of shift around 12PM)

Job Responsibility

Manage historical market factor time-series across all products and all regions related to Market Risk IMA and Counterparty Risk IMM models
Ensure that cleaned market factor data can meet regulatory requirements and can be used as the inputs for Citi’s IMA and IMM models
Define market data sources and manage the Historical Data Storage system including design of data quality control and enhancement logic
Develop and enhance quantitative methods for measuring and analyzing the quality of historical market data used by various models across all Risk Modelling Analytics and Enterprise Scenario groups’ teams
Taking ownership of several workflows in the Historic Data Management team in one of two subareas: macro or micro market factors
Managing the work of team members involved in owned workflows and training of junior team members
Identifying and assigning project tasks based on the skill set, experience, and strengths of team members
Leading and supervising quantitative data analysis, including the preparation of statistical and nonstatistical data exploration, data validation, and the identification of data quality issues
Developing detailed project plans based on the current data system state reflected in data reports and making recommendations addressing business needs
Monitoring project implementation performance to ensure timely delivery and creating project status reports for internal team needs

Senior Data Scientist - Experimentation

Science at Uber means transforming the complex reality of global data into the i...

Location

Brazil , Sao Paulo

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Minimum 5 years of professional experience in a data analytics-focused role with a proven track record of turning ambiguous business needs into actionable analyses
Advanced expertise in SQL and Python or R, with the ability to write clean, documented pipelines for data wrangling and transformation
Extensive experience in experimental design, including the proven ability to design, run, and interpret large-scale A/B tests
Solid theoretical foundation in causal inference or complex experimental designs dealing with network effects and rare events
Solid proficiency in probability theory and statistical techniques, including MLE, parameter estimation, and methods for truncated/censored data
Exceptional communication and stakeholder management skills with a history of influencing leaders and navigating cross-functional relationships
BA/BS, M.S., or Ph.D. in Statistics, Economics, Math, Computer Science, or a related quantitative field (or equivalent professional experience)

Job Responsibility

Design and execute large-scale experiments, such as A/B tests, to evaluate product features or model updates and draw detailed, impactful conclusions
Conduct deep-dive statistical and ad-hoc analyses to uncover trends and patterns that shape product strategy and respond to real-world market shifts
Architect strategic metrics and monitoring systems while collaborating with Engineering to overhaul the underlying data pipelines that ensure data integrity
Translate complex business needs into rigorous analytical frameworks and data requirements in partnership with Engineering, Product, and Operations
Drive operational excellence by building scalable dashboards that provide visibility into underlying business drivers and product success
Mentor junior data scientists and provide guidance on best practices for experimental design, exploratory analysis, and data storytelling

Lead Data Scientist

Prism Data is building the future of credit risk assessment using modern data sc...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

150000.00 - 195000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
Master’s or PhD is a plus
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Cash flow underwriting analytics experience is a strong plus
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Expertise building Gradient Boosting models is a plus

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

Equity-based compensation
Comprehensive benefit plan, including medical, dental, vision, and 401(k)

Fulltime

Staff Applied Research Scientist - Martech AI

We are seeking a highly experienced and strategic Staff Applied Research Scienti...

Location

United States , New York City; Palo Alto; Chevy Chase; Dallas; Seattle; Chicago; Austin

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

BS in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, PhD is preferred
At least 6+ years of professional experience delivering applied AI/ML solutions in production, including leading cross-functional initiatives with enterprise impact
Demonstrated ability to leverage LLMs and agentic AI systems to develop and deploy personalized marketing solutions, including individualized content generation, campaign targeting, and optimization of customer engagement/retention/conversion strategies
Strong proficiency in Python and SQL
deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
Demonstrated experience establishing KPI frameworks, experimentation, and causal analysis to quantify model impact and inform prioritization
Excellent stakeholder management skills with a track record of driving alignment and adoption across product, engineering, and business teams
Strong written and verbal communication skills
ability to set the right context and explain complex technical topics to varied audiences, including executives

Job Responsibility

Identify High-Impact Opportunities: Proactively surface and shape high-value AI/ML initiatives by engaging with product, engineering, and operations to align technical roadmaps with strategic business goals
Architecture & Technical Direction: Provide architectural leadership for AI/ML solutions impacting multiple stakeholders. Establish standards for scalability, reliability, observability, compliance, and cost efficiency across online and batch systems
Development & Productionization: Lead end-to-end delivery of AI/ML solutions, including model design, data pipelines, feature stores, evaluation, deployment, A/B testing, and monitoring in real-time and batch environments. Ensure clear plans, milestones, and on-time delivery
ROI Measurement & Experimentation: Establish robust mechanisms to quantify business impact, including KPI definition, experimentation frameworks, and causal inference approaches to guide decision-making and prioritize investments
Innovation & Research Integration: Stay current with cutting-edge research in ML, GenAI, and optimization. Prototype and harden novel techniques that push the boundaries of innovation within GEICO’s insurance ecosystem
Set technical direction for multi-quarter research initiatives
build evaluation frameworks, ensure reproducibility/responsible AI, and drive cross-functional adoption
shepherd patents
Cross-Functional Collaboration: Champion collaboration across Product, Engineering, Data Platform, Governance, Legal, and Operations to ensure responsible, compliant, and effective adoption of AI systems
Mentorship & Capability Building: Mentor junior and senior scientists, elevate technical standards (coding, testing, documentation, reproducibility), and foster a culture of scientific rigor and engineering excellence

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

New

Sales territory manager residential

Currently, we are seeking a qualified individual to serve as a Sales - Residenti...

Location

United States , Chicago

Salary:

24000.00 USD / Year

Sierra Pacific Industries

Expiration Date

April 17, 2026

Requirements

Previous sales experience preferred
prior experience in construction and window sales a plus
working knowledge of residential construction practices preferred
window and door product knowledge a plus
construction industry knowledge preferred
excellent verbal and written communication skills
proficient computer and math skills
attention to detail, organized, and self-motivated
must thrive in competitive environment
applicants should live in Chicago or surrounding areas

Job Responsibility

Sell factory direct wood/clad window and door products
prepare and deliver timely quotes
build and maintain business relationships
create and maintain a solid customer base
ability to identify potential customers
knowledge of territory construction activity
ability to successfully cold call
help the customers identify their needs
meet or exceed the customers’ expectations

What we offer

Excellent low-cost health benefits
retirement plan with employer-paid contributions
paid vacation and 10 holidays
full health benefits plan (including medical, dental, and vision) with low-cost premiums
401(k) with company match
additional retirement contributions
company-paid life insurance

Fulltime

New

Pharmacy Technician

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Key Biscayne

Salary:

17.00 - 27.00 USD / Hour

CVS Health

Expiration Date

April 23, 2026

Requirements

Must comply with any state board of pharmacy requirements or laws governing the practice of pharmacy, which includes but is not limited to, age, education, and licensure/certification
If the state board of pharmacy does not address or mandate a minimum age requirement, must be at least 16 years of age
If the state board of pharmacy does not address or mandate a minimum educational requirement, must have a high school diploma or equivalent, or be actively enrolled in high school or high school equivalency program
Regular and predictable attendance, including nights and weekends
Ability to complete required training within designated timeframe
Attention and Focus: Ability to concentrate on a task over a period of time
Ability to pivot quickly from one task to another to meet patient and business needs
Ability to confirm prescription information and label accuracy, ensuring patient safety
Customer Service and Team Orientation: Actively look for ways to help people, and do so in a friendly manner
Notice and understand patients’ reactions, and respond appropriately

Job Responsibility

Support the pharmacy team in delivering operational and service excellence within your store
Assist the pharmacy team to ensure that pharmacy operations run smoothly, our patients’ prescriptions are filled promptly, safely, and accurately, and we are providing caring service that exceeds patient expectations
Operate as part of the pharmacy team through consistent application of Standard Operating Procedures (SOPs), best practices, and effective communication
Following pharmacy workflow procedures at each pharmacy workstation (i.e., production, pick-up, drive-thru, and drop-off) for safe and accurate prescription fulfillment
Contributing to positive patient experiences by showing empathy and genuine care: creating heartfelt and personalized moments while serving patients at pick-up, drive-thru, and over the phone
keeping patients healthy by offering immunizations and other services at the register and over the phone
and demonstrating compassionate care by solving or escalating patient problems
Completing basic inventory activities, as permitted by law, and as directed by the pharmacy leadership team, such as accurately putting away medication deliveries and completing cycle counts, returns-to-stocks, waiting bin inventories, etc.
Contributing to a high-performing team, embracing a growth mindset, and being receptive to feedback
actively seeking opportunities to expand clinical and technical knowledge needed to better assist patients

What we offer

Affordable medical plan options
a 401(k) plan (including matching company contributions)
an employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility

Fulltime

Junior Business Scientist, Data Science and Marketing Effectiveness

Assessfirst

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 25, 2026

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