Data Scientist
Full Time
full time
25 Aug 2022
Verified by Turrior
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
78 / 100
Offer value
Moderate value, balancing competitive marketplace demand for data scientists with potential for career progression and diverse project tasks.
- Remote opportunities offer flexibility and variety
- Engagement in diverse analytics tasks
- Balanced compensation and benefits
- Contract-to-hire nature may be uncertain
Pros
- Diverse experiences available in remote settings
- Variety of analytical frameworks applicable to consumer research
- Clear path to develop data-driven business strategies
Cons
- Potentially volatile contract-to-hire nature
- Broad skillset requirements may suit few candidates
- Remote work may limit team interaction and mentorship opportunities
Who it's for
Mid-Level • Remote or Office
Good fit
- Data professionals aiming for consumer insights roles
- Candidates with 5+ years in data science or analytics
- Individuals open to contract positions with potential for hire
Not recommended for
- New graduates without data science experience
- Specialists focused only on niche analytical tools
- Professionals unwilling to adapt to a contract job structure
Motivation fit
Interest in consumer analytics and strategic insight developmentDesire to apply scientific methods to real business problemsWillingness to adapt to varying project demands
Key skills
Data AnalysisStatistical ModelingPredictive AnalyticsConsumer ResearchTechnical Proficiency in Coding
Score: 78/100 AI verified analysis
About the job
Primary Location – Fort Myers, Florida or Remote
Solios Corp is currently hiring for a Data Scientist for our premier client in Fort Myers, Florida. This is a contract-to-hire position.
WHAT YOU’LL NEED:
Technical Requirements and Certifications »
- Certificate in business analytics, data mining, or statistical analysis preferred
Education and Experience »
- Bachelor’s degree preferred, in Statistics, Economics, Analytics, Industrial-Organizational Psychology, Engineering, Mathematics, Computer Science, Information Technology or related field preferred; Master’s Degree a plus
- 5-7 years of experience manipulating data sets and building statistical models
- Experience in a retail setting a plus
Preferred Qualification
- If in Research/Personalization: 5+ years’ experience with consumer/customer quantitative research, consumer/customer qualitative research, or associate engagement research
- If in CRM: 5+ years’ experience with marketing campaign segmentation, targeting design, execution tools, framework. Strategic mindset designing customer journeys and touch points.
- If in CX/UX: 5+ years’ experience with digital experience analytics (Google, Omniture, etc.). Ability to read/interpret web analytics to provide actionable strategic insights
- If in Modeling/Data Science: 5+ years’ experience in analytics or data science – with an emphasis in customer analytics and marketing analytics; forecasting; structural equations, marketing ROI and attribution, building predictive models and multivariate techniques, working in environments with disparate data sources
- If in Testing: 2+ years hypothesis testing experience; 2+ experience with testing toolset such as APT
Knowledge, Skills and Abilities »
- Familiar with the following software/tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Strong Microsoft Office skills
Competencies:
- Culture
- Decision Quality
- Action Oriented
- Interpersonal Savvy
- Situational Adaptability
WHAT YOU’LL DO:
Job Responsibilities »
- Selecting features, building and optimizing classifiers using Big Data techniques.
- Conducts data mining using state-of-the-art methods to drive optimization and improvement of marketing techniques and business strategies.
- Works with peers to enhance data collection procedures to include information that is relevant for building analytic systems.
- Creates automated anomaly detection systems and constant tracking of its performance.
- Develops custom data models and algorithms to apply to data sets.
- Building closed-loop algorithms to power scaled personalization within the digital experience.
- Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Keeps up-to-date with latest technology trends and how to best leverage machine learning, neural networks and other avenues to harness the power of the organizations vast data.
Interested?
