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Mindrift

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: 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. 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.

Statistics Expert (Python) - Freelance AI Trainer

Location

Texas

Posted

77 days ago

Salary

0

Seniority

Mid Level

Job Description

Statistics Expert (Python) - Freelance AI Trainer

Mindrift

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. Compensation On this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Mindrift logo

Statistics Expert (Python) - Freelance AI Trainer

Mindrift

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: 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. 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.

Data Scientist77 days ago

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. Compensation On this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

New York
Job Closed

Principal Analytics Analyst - Healthcare Data

Surescripts

Surescripts is a leading healthcare technology company founded in 2001, focused on improving healthcare decision-making through trusted intelligence and seamles

Data Scientist77 days ago

Title: Principal Analytics Analyst - Healthcare Data Location: Raleigh, North Carolina, Beaverton, Oregon, Minneapolis, Minnesota, Arlington, Virginia Job Description: Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions — from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers. Job Summary The Principal Analytics Analyst - Healthcare Data leads high-impact, complex analytics initiatives that advance product strategy, commercial outcomes, and external credibility across the healthcare ecosystem. As a principal individual contributor, this role shapes methodological approach, elevates standards for rigor and reproducibility, and serves as a trusted partner to Product, Engineering, and Commercial leaders. The Principal Analyst frequently operates as a subject matter expert, translating sophisticated analytics into compelling narratives and guiding the team toward scalable, reusable solutions. Responsibilities - Lead the design and delivery of complex analytics initiatives (descriptive through prescriptive), selecting appropriate methodologies and ensuring statistical/analytical integrity. - Frame ambiguous, high-stakes questions into analytic strategies, measurement frameworks, and decision-ready insights that support product development and sales enablement. - Drive development of advanced models and decision frameworks (e.g., forecasting, propensity/risk models, segmentation, scenario analysis), including robust validation and monitoring recommendations. - Set expectations for analytic rigor: reproducibility standards, documentation norms, sensitivity analyses, and transparent communication of limitations and assumptions. - Influence the broader data/analytics ecosystem at Surescripts by defining reusable datasets, semantic layer requirements, KPI definitions, and analysis accelerators in collaboration with engineering and BI partners. - Mentor colleagues and team members; provide technical leadership through review, coaching, and development of best practices and playbooks. - Clearly communicate analytics methods and results to technical, executive, and client audiences, as needed. - Identify opportunities for new analytics capabilities, tools, or processes that increase impact, reliability, and speed-to-insight. 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Preferred Qualifications - PhD preferred but not mandatory Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed. To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM. Why Wait? Apply Now We’re a midsize company. This means you’re not just another employee ID number. 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Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site. Physical and Mental Requirements While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. 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North Carolina + 3 moreAll locations: North Carolina | Oregon | Minnesota | Virginia
The Vanguard Group logo

Investment Management Data Scientist, Specialist

The Vanguard Group

Founded in 1975, The Vanguard Group is now one of the largest investment management companies in the world, with millions of investor clients and thousands of "

Data Scientist77 days ago

Title: Investment Management Data Scientist, Specialist Location: Malvern, PA Job Description: Core Responsibilities 1. Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling. 2. Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts. 3. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. 4. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. 5. Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community. 6. Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders. 7. Participates in special projects and performs other duties as assigned. Qualifications - Minimum of five years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required. - Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred. Special Factors Sponsorship Vanguard is offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Pennsylvania
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Data Scientist

Reddit

Reddit is an online platform utilized by thousands of communities to connect and converse about a wide variety of topics, including TV and movie fan theories, s

Data Scientist77 days ago

Title: Data Scientist Location: San Francisco, CA Work Type: Hybrid Job Description: Job Duties: Be actively involved in all phases of product development, including but not limited to, ideation, exploratory analysis, opportunity sizing, metrics design, offline modeling, experimentation and decision making, post-launch monitoring/measurements etc. Leverage data to understand Reddit, its users, and potential product investments through experiment design and analysis, data deep dives, causal inference, and improving data accessibility for stakeholders (e.g. by creating ETLs, reporting dashboards and data aggregations needed for business tracking). Serve as a thought-partner for product managers, engineering managers and leadership from your respective product domain, communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights through deep-dive analyses and analytics insights. Partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. Drive the success of Reddit's core products by helping define the product strategy through identifying business opportunities and user pain points. statistical analysis, programming languages (R and Python), and querying relational databases (SQL). Part-time telecommuting is an option. Hybrid work from Reddit office in San Francisco, CA. Minimum Requirements: Master's degree (or its foreign degree equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline, and (2) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) MongoDB; (2) Neo4j; (3) SPSS; (4) SAS; (5) Azure; (6) Pandas; (7) Scikit-learn; (8) Tensorflow; (9) R; (10) Power BI; and (11) data science experience focused on recommendation systems for a consumer-facing app. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option. Hybrid work from Reddit office in San Francisco, CA. Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please The base pay range for this position is: $197,000.00 - $229,900.00 USD

California