Job Title: Sr. Data Scientist
Duration: 12 Months
Location: Remote
Hours: 8hrs per day; 8:30AM-5PM EST
Summary:

• This contractor will be part of a cross-functional IT and Business team responsible for developing strategic, enterprise-aligned solutions for the document processing use case.

Top must-have skills / Candidate Requirements: 

• Proficiency Streamlit in Python, Vector Database and API development
• Experience with clustering, natural language processing, large language models, analyzing unstructured text data
• Knowledge of version control platforms such as GitHub
• Experience in aligning the technical solutions with the business needs

Preferred skills:

• Expertise in CNN architecture for fraud detection
• Knowledge of tampering-specific preprocessing techniques
• Experience in Transformer-Based Models and Other Computer Vision Models
• Experience with Vision Transformers
• Proficiency in benchmarking tools and trade-off analysis.
• Ability to integrate graph databases like Neo4j with ML workflows for tampering detection.

Day to day responsibilities:

• Analyzing complex structured and unstructured datasets to uncover meaningful patterns and extract valuable insights.
• Solving business challenges using advanced statistical techniques, machine learning, and predictive modeling.
• Designing and implementing AI algorithms to support data-driven decision-making.
• Testing hypotheses and creating actionable recommendations that drive operational improvements.
• Enabling smarter decision-making through data analysis and predictive insights.

They will also:

• Work with minimal supervision to apply technical expertise in developing algorithms and building technology solutions.
• Optimize processes and enhance operational efficiency through innovative data solutions.
• Collaborate with stakeholders across departments and business areas to address a wide range of challenges.
• Prioritize practical, value-adding solutions that go beyond informing to actively innovating.

Who is this worker's main interaction going to be with:

• Working independently and collaborating with five data scientists and the business team

Required Industry Experience:

• Any industry is welcome; however, if the candidate has done this type of work in the insurance or banking industry, it would be a plus.

How will performance be measured:

• When they are assigned, tasks are the objectives delivered.
• What is the Quality of the deliverable and
• Feedback from the peers

Why a candidate would be interested in this position over one with another organization:

• The experience to build solutions:
• Enterprise Time: Develop scalable solutions for the entire organization, establish frameworks for teams to follow, and integrate new technologies.
• Research & Development: Drive innovation through creative and forward-thinking solutions—this is the type of exposure they seek.
• Current Client Focus: Personalize and commercialize offerings to meet evolving needs.

Knowledge, Skills/Abilities:

• Knowledge, skills/abilities listed below are the requirements needed to be proficient in the job.
• Passion for empirical research and answering hard questions with data
• Demonstrated skills in data mining, machine learning, programming, dynamic optimization
• Ability to query databases and apply advanced data manipulation techniques across multiple sources
• Proficiency in at least one higher level programming language
• Experience in thought leadership in applying data driven models that had a tangible impact on business
• Solid project management skills and ability to handle multiple projects simultaneously while meeting tight and potentially changing deadlines in a high-paced and dynamic environment
• Strong problem solving and structuring skills; ability to mine large datasets and surface actionable insights.
• Attention to detail
• Able to understand and articulate the "big picture"
• Ability to identify and learn applicable new techniques independently as needed
• Solid collaboration skills
• Good written and verbal communication skills
• Ability to simplify complex ideas
• Ability to perform in an ambiguous environment and to work with multiple stakeholders from various business units

Essential Duties & Responsibilities:

• Incumbents may perform other duties and responsibilities as assigned. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential duties and responsibilities.
• Explores research ideas and leads the resulting projects beginning with data gathering and research design, through model building and the communication of results.
• Leads less complex projects and collaborates with other business units to solve business problems and improve results by applying advanced analytical approaches.
• With direction, works with other business partners to ensure models and recommendations are well understood and incorporated into product or business processes.
• Utilizes large-scale data mining and machine learning techniques to discover actionable patterns in the data that optimize or innovate rather than inform.
• Performs rigorous model evaluation, designs hypothesis tests, oversees test execution and result evaluation.
• Provides statistical, Machine Learning and programming leadership to the internal teams.
• Applies knowledge of computer science to run algorithms more efficiently, deploy solutions and find new ways of managing and analyzing the data.
• Evening/night hours may be required
• Extra hours may be required during business peaks or to meet seasonal deadlines
• Weekend hours may be required

Degrees or certifications required/Years of overall experience required: 

•  Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or elated field (e.g. Mathematics) and a minimum of 2 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.

• In lieu of a degree, a minimum of 4 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools and in using various database tools processing large volumes of structured and unstructured data.  A minimum of 2 years’ experience with mathematical model creation and/or evaluation, hypothesis testing and experimental design.

Interview Process:

• 1 round of video interview 3 people Behavioral and tech questions 

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 45.00/hr.