Interested in this Data Scientist role at Adswerve, Inc.?
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About This Role
We're an award\-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies think beyond clicks and conversions to unlock new opportunities for growth. We thrive on rolling up our sleeves and digging into the tough stuff for our 800\+ clients. And we love getting them the most ROI from their digital marketing. If you're up for the challenge, join us. Let's move fearlessly forward together.
Department: Tech Services
Job Title: Data Scientist 1
Compensation: $95,000 \- $115,000
Location:Arizona, Colorado, Connecticut, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Maryland, Michigan, Minnesota, Missouri, North Carolina, New Jersey, New Mexico, Pennsylvania, Tennessee, Texas, Utah, Virginia, and Wisconsin.
Adswerve is looking for an aspiring Data Scientist to join the Technical Services team. The ideal candidate for this key position will possess a natural tendency toward analytical thinking, combined with client\-facing consultative interpersonal skills. They will be naturally curious about data purity, big data analysis, machine learning, and product development, and have proven strengths in data science and data engineering. Our team of Data Engineers and Data Scientists are responsible for collaborating with clients and internal teams to solve complex data\-related challenges for some of the biggest brands in the world.
This is not a typical data scientist role. Our work is about consistently solving a multitude of client problems with data engineering and data science solutions. You'll learn about data engineering pipelines, big data and marketing data sets and apply your understanding of data science and machine learning concepts. You will be our client's hero, achieving daily wins by applying marketing segmentation, attribution and propensity modeling to surface sophisticated insights out of marketing data warehouses that you help build.
Responsibilities
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- Collaborate closely with Data Engineers to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps
- Collaborate with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions
- Audit existing datasets for accuracy, reliability and consistency
- Advise senior team members to identify data models and algorithms to apply to unique client problems
- Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques
- Coordinate with internal and client data engineering teams to implement models and supervise outcomes
- Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites
- Develop and test applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines
- Other duties as assigned
Experience
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- College degree in Computer Science, Information Science or related field preferred \- OR \- successful completion of code school program combined with experience in data science
- Skilled with SQL and Python for advanced analysis required
- Experience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate to big data
- Machine Learning Framework experience
- Familiar with how JavaScript is used for websites
- Proven track record to solve complex problems with timely delivery, the highest quality, and creativity in the approach
- Ability to listen and understand business needs and creatively develop solutions
- Ability to work on a team and manage individual prioritize workload
- Strong desire to become a proficient Data Scientist for a fast paced company
This position pays a base salary of $95,000 to $115,000 per year. Wage differential is based on training and experience.
Our team of 250\+ employees is spread out across 26 states and six countries. We keep everyone connected remotely with a team\-oriented culture where everyone contributes and feels valued for their skills and unique perspectives.
If you want to work alongside the best and brightest analytics minds, we'd love to hear from you. You can get hands\-on with the latest ad tech, work with exciting clients and pave the way for new industry processes and advancements. All while working for a company that prioritizes your work\-life balance. Plus, we offer full\-time Adswerve employees benefits you'll love:
- Medical, dental and vision available for employees
- Paid time off including vacation, sick leave \& company holidays
- Paid volunteer time
- Flexible working hours
- Summer Fridays
- "Work From Home Light" days between Christmas and New Year's Day
- 401(k) Plan with 5% company match and no vesting period
- Employer Paid Parental Leave
- Health\-care Spending Accounts
- Dependent\-care Spending Accounts
- Employer Paid Basic Life Insurance
- Voluntary Life Insurance (Employee/Spouse/Child)
- Employer Paid Short \& Long Term Disability
- Employee Assistance Program (EAP)
- Continuing Education Reimbursement
- Employee Referral Bonus Program
- Monthly Remote Work Stipend
- New Hire Office Equipment Reimbursement
*Adswerve is an Equal Opportunity and E\-Verify Employer. All qualified applicants will receive consideration without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, physical or mental disability, medical condition, gender identity, gender expression, results of genetic testing, service in the military, or on any other basis that would be in violation of any applicable federal, state, or local law. Adswerve will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I\-9 to confirm work authorization.*
If you require assistance with your application, please reach out to [email protected]
Screening of Applications Begins: Immediately and will continue until the position is filled. For best consideration, please apply by the end of June!
Recruitment Agencies: We are not utilizing external 3rd party recruitment agencies for this search. Should those needs change, we will seek your assistance directly.
Salary Context
This $95K-$115K range is in the lower quartile for Data Scientist roles in our dataset (median: $160K across 245 roles with salary data).
View full Data Scientist salary data →Role Details
About This Role
Data Scientists extract insights and build predictive models from data. In the AI era, many roles now include LLM-powered analytics, automated reporting, and integration with generative AI tools. The role has evolved from 'the person who runs SQL queries' to 'the person who builds AI-powered data products.'
Modern data science roles fall into two camps: analytics-focused (insights, dashboards, experimentation) and ML-focused (building predictive models, recommendation systems, NLP features). The best data scientists can operate in both modes. The AI shift means that even analytics-focused roles now involve building automated insight pipelines using LLMs, going well beyond one-off reports.
Across the 4,133 AI roles we're tracking, Data Scientist positions make up 8% of the market. At Adswerve, Inc., this role fits into their broader AI and engineering organization.
Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.
What the Work Looks Like
A typical week includes: analyzing experiment results for a product feature launch, building a predictive model for customer churn, creating an automated reporting pipeline using LLM-powered summarization, presenting insights to stakeholders, and cleaning data (always cleaning data). The ratio of analysis to engineering varies by company, but expect both.
Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.
Skills Required
Python, SQL, and statistical modeling are the foundation. Increasingly, roles want experience with LLMs for data analysis, automated insight generation, and building AI-powered data products. Familiarity with cloud data platforms (Snowflake, BigQuery, Databricks) and ML frameworks (scikit-learn, PyTorch) covers most job requirements.
Experimentation design and causal inference are underrated skills that separate strong candidates. Companies care about whether their product changes cause improvements, and can distinguish causation from correlation. A/B testing methodology, Bayesian statistics, and the ability to communicate uncertainty to non-technical stakeholders are high-value skills.
Good postings specify the data stack, the types of problems you'll work on, and the team structure. Look for companies that differentiate between analytics and ML data science. Vague 'data scientist' postings that list every skill under the sun usually mean the company doesn't know what they need.
Compensation Benchmarks
Data Scientist roles pay a median of $198,000 based on 868 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,778. This role's midpoint ($105K) sits 47% below the category median. Disclosed range: $95K to $115K.
Across all AI roles, the market median is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Safety ($274,200) and AI Engineering Manager ($268,700). By seniority level: Entry: $97,760; Mid: $165,778; Senior: $227,400; Director: $250,000; VP: $250,000.
Adswerve, Inc. AI Hiring
Adswerve, Inc. has 1 open AI role right now. They're hiring across Data Scientist. Based in Remote, US. Compensation range: $115K - $115K.
Remote Work Context
Remote AI roles pay a median of $173,300 across 2,012 positions. About 14% of all AI roles offer remote work.
Career Path
Common paths into Data Scientist roles include Data Analyst, Statistician, Quantitative Researcher.
From here, career progression typically leads toward Senior Data Scientist, ML Engineer, AI Product Manager.
Start with statistics and SQL. Build a real analysis project on public data that demonstrates insight generation alongside model building. The market values data scientists who can communicate findings clearly to business stakeholders. If you want to move toward ML engineering, invest in software engineering fundamentals and production deployment skills.
What to Expect in Interviews
Interviews combine statistics, coding, and business acumen. SQL is almost always tested, often with complex joins and window functions. Expect a case study round where you're given a business problem and asked to design an analysis plan. Coding rounds focus on pandas, statistical modeling, and visualization. The strongest differentiator is how well you communicate insights to non-technical stakeholders during presentation rounds.
When evaluating opportunities: Good postings specify the data stack, the types of problems you'll work on, and the team structure. Look for companies that differentiate between analytics and ML data science. Vague 'data scientist' postings that list every skill under the sun usually mean the company doesn't know what they need.
AI Hiring Overview
The AI job market has 4,133 open positions tracked in our dataset. By seniority: 106 entry-level, 1,901 mid-level, 1,663 senior, and 463 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (583 positions). The remaining 3,532 roles require on-site or hybrid attendance.
The market median for AI roles is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Safety ($274,200 median, 57 roles); AI Engineering Manager ($268,700 median, 42 roles); Research Engineer ($260,000 median, 442 roles).
Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.
The AI Job Market Today
The AI job market spans 4,133 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,865), Data Scientist (339), AI Software Engineer (313). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (1,901) and senior (1,663) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 463 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (583 positions), with 3,532 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,700. Top-quartile roles start at $254,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $274,200 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,128 postings), Aws (1,324 postings), Azure (1,003 postings), Rag (916 postings), Gcp (817 postings), Pytorch (655 postings), Prompt Engineering (639 postings), Claude (571 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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