Senior Data Scientist

Job Title:

Senior Data Scientist

Location:

Remote, NY

Employment Type:

Contract (6 months)

Industry: Banking

Compensation: $65.00 /hr.

Schedule:

40 hrs/Week.

• Join a collaborative data science team where you'll turn complex, high-volume data into meaningful insights and scalable solutions.
• You’ll independently tackle challenging analytical problems, develop sophisticated statistical and machine learning models, and partner with stakeholders to translate model outputs into measurable business value.

• Supportive, team-driven culture that values collaboration, transparency, and accountability.
• Opportunity to grow your career with a global workforce solutions leader serving multiple industries.
• People-first environment that encourages employees to bring their authentic selves to work.
• Strong focus on partnership, innovation, and delivering meaningful results for clients and candidates.

This role offers the opportunity to join a company that prioritizes both people and performance-where your contributions directly impact client success while providing you with room to grow and develop professionally.

Acara is a premier recruiting and workforce solutions provider- we help companies compete for talent. With experience across industries worldwide, we partner with clients, listen to their needs, and design talent solutions that deliver the business outcomes they want. We draw on decades of experience to provide contingent staffing, direct placement, executive search, and workforce services worldwide.

• Work with large, complex data sets to source, ingest, clean, and prepare data for analysis while ensuring data quality, stability, and resilience to data drift.
• Develop and refine econometric, statistical, and machine learning models across areas such as classification, clustering, pattern analysis, sampling, and simulation.
• Build, test, and promote complex models into production, including champion/challenger approaches and frameworks that support self-healing models.
• Evaluate model performance, reliability, and stability, incorporate business feedback, and create clear materials and outputs that communicate model outcomes and impact to stakeholders.
• Collaborate with experienced data scientists and guide less experienced team members while reviewing code, applying best practices, and supporting responsible, compliant delivery.

• High School Diploma or GED.
• Minimum 5 years of experience working with multiple statistics and data science principles such as AB testing, sample selection, hypothesis testing, and modeling bias.
• Minimum 5 years of experience in various hybrid databases, both on-premises and in the cloud.
• Minimum 5 years of experience in analyzing large data sets.
• Minimum 5 years of experience in data visualization using Tableau and Power BI.
• Minimum 5 years of experience in Alteryx.
• Minimum 5 years of experience in Data ETL using SQL and Python.

• Bachelor's Degree.
• Master's Degree in Science.
• Doctorate Degree in Statistics or Economics or Finance.
• Field in the quantitative social, physical, or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance, or risk management
• Proficiency with pertinent statistical software, languages, and tools.
• Intermediate-level knowledge of Structured Query Language (SQL) and Not Only Structured Query Language (nSQL).
• Intermediate understanding of modeling techniques such as Bayesian Modeling, Classification models, Cluster analysis, neural networks, Non-parametric methods, and Multivariate statistics.
• Fluent in econometric/statistical techniques, including time-series analysis, panel data methods, and logistic regression
• Practical experience with pertinent statistical software, languages, and tools.

• Upon offer of employment, the individual will be subject to a background check.

Aleron companies (Acara Solutions, Aleron Shared Resources, Broadleaf Results, Lume Strategies, Talent Rise, Viaduct) are an Equal Opportunity Employer. Race/Color/Gender/Religion/National Origin/Disability/Veteran.

Applicants for this position must be legally authorized to work in the United States. This position does not meet the employment requirements for individuals with F-1 OPT STEM work authorization status.

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