• Conduct comprehensive data evaluations for prospective partners, demonstrating SentiLink's product value through clear data science metrics. • Analyze performance data from current partners to ensure optimal product use and provide actionable recommendations. • Collaborate with cross-functional teams, including Product, Data Science, and Engineering, to enhance product performance and address partner-specific needs. • Deliver ad hoc analyses and reports that provide deep insights into fraud trends, consumer behavior, and partner-specific challenges. • Communicate complex data findings effectively through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders

We are seeking a highly motivated Data Scientist to join our remote analytics team. In this role, you will leverage advanced statistical analysis, machine learning, and data modeling techniques to generate insights that drive strategic decision-making across the organization. The ideal candidate has a strong analytical mindset, experience working with large datasets, and the ability to translate complex data into clear business recommendations. This position offers the opportunity to work with cross-functional teams including engineering, product, finance, and operations to build scalable data solutions and predictive models. Key Responsibilities Data Analysis & Modeling * Analyze large, complex datasets to identify trends, patterns, and actionable insights. * Develop and deploy predictive models, machine learning algorithms, and statistical analyses. * Perform exploratory data analysis (EDA) to support business problem-solving. * Build and maintain data pipelines to support analytics and modeling efforts. Machine Learning & Predictive Analytics * Design and implement machine learning models for forecasting, classification, clustering, and optimization. * Evaluate model performance and refine algorithms to improve accuracy and scalability. * Conduct A/B testing and experimental analysis to support product and operational improvements. Data Visualization & Reporting * Develop dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Python libraries. * Present analytical findings and insights to stakeholders in clear and actionable formats. * Translate complex data concepts into understandable business recommendations. Collaboration & Strategy * Work closely with engineering and product teams to integrate data science solutions into production systems. * Support strategic initiatives through data-driven insights and forecasting. * Ensure data accuracy, governance, and compliance with internal standards. Required Qualifications * Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field. * 3+ years of professional experience in data science, analytics, or machine learning roles. * Strong programming skills in Python or R. * Experience with SQL and working with large datasets. * Solid understanding of statistical modeling, machine learning techniques, and predictive analytics. * Experience with data visualization tools such as **Tableau, Power BI, or similar platforms. * Strong problem-solving, analytical, and communication skills. Preferred Qualifications * Experience with cloud platforms (AWS, Azure, or Google Cloud). * Familiarity with big data tools such as Spark, Hadoop, or Databricks. * Knowledge of deep learning frameworks (TensorFlow, PyTorch). * Experience working in remote or distributed teams. Compensation & Benefits * Flexible remote work schedule. * Performance-based incentives and professional development opportunities. * Access to advanced data science tools and resources. * Collaborative remote work environment with opportunities for career growth. Eligibility Requirements * Must reside in the United States. * Must have valid U.S. work authorization (U.S. citizen, permanent resident, or authorized work permit holder). * Ability to work remotely with a reliable internet connection and secure home workspace.

• Own the accuracy of Account, Contact, and Lead data in Salesforce, by proactively resolving duplicates, incomplete records, and stale information. • Ensure all CRM records strictly adhere to defined Ideal Customer Profiles (ICPs) and SAI360’s segmentation rules. • Manage automated routing and territory definitions to ensure Leads and Accounts are assigned to the correct owners, including re-assigning during organisational changes. • Ensure data depth by performing regular enrichment cycles using tools like ZoomInfo and LinkedIn Sales Navigator to maintain up-to-date firmographic and contact intelligence. • Monitor movement, such as, when key stakeholders change roles, ensuring internal teams are alerted to movement and new opportunities. • Assess coverage by verifying that high-priority Accounts have sufficient engagement and data across all required personas and job titles. • Build reports and dashboards to support Lead follow-up, monitor SLA compliance, territory penetration, and ownership gaps, providing Sales leadership with actionable data insights. • Oversee the selection, integration and utilisation of the Sales tech stack (ChiliPiper, SalesLoft, HubSpot). • Support automation initiatives to ensure seamless data flow and hygiene across all platforms. • Translate feature/function requests into Salesforce.com capabilities for our Salesforce.com administration team to produce. • Lead User Acceptance Testing for new features and assist in sales enablement for all Sales tools.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $73/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.