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At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.  Our unique data and solutions empower over 5,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people. We are looking for an Account Manager to join our OEM team . Why is this role so important at Similarweb? As an Account Manager, OEM you will be responsible for developing, executing, and owning a long-term account strategy for our key strategic data partnerships. This role will oversee retention and expansion of accounts in addition to driving adoption of our data solutions in core processes across the business. You will own the relationship with customers and key decision makers to ensure our data delivers significant value to their products and organizations. So, what will you be doing all day? Develop and execute long-term account strategies for customers, focusing on retention and expansion. Oversee the renewal process and increase renewal rates by fostering strong partnerships with key decision-makers. Identify and lead up-sell and cross-sell opportunities to drive new business growth, enhancing customer advocacy and reference-ability. Manage relationships with account users to ensure high engagement and data adoption, exceeding commercial targets. Influence future lifetime value through increased data adoption, customer satisfaction, and overall engagement. Collaborate with internal teams to align our data strategy with customer needs.  This is the perfect job for someone who: Minimum 3 years of commercial experience in navigating renewals and up-sells, preferably in a SaaS environment. Strong understanding of key digital web metrics and various online marketing channels. Proven experience in managing data partnerships, demonstrating the ability to cultivate and maintain strong relationships that drive mutual success, including the ability to articulate value propositions for integrated data solutions. Ability to translate complex data concepts into actionable strategies that enhance client value and drive decision-making. Experience working with C-suite executives at client organizations, effectively communicating insights and presenting strategic recommendations that align with their business objectives. Strong analytical skills to assess data needs and identify growth opportunities within client organizations. Demonstrated success in developing long-term strategic plans that leverage data partnerships to achieve business goals. **At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.** The base salary range for this position in New York City is $74,970 - $132,300 + benefits including: medical, dental and vision insurance, 401K plan, potential equity, employee stock purchase plan and paid sick and parental leave.  In addition, this position is eligible to participate in the company's sales incentive plan, with a maximum target OTE of up to $220,500, depending upon the final terms of employment and achievement of established targets. Individual compensation is based upon a number of factors, including qualifications and relevant experience.  The base salary range above is for the New York City metro area, and could vary for candidates in other locations. Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas:   We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.  We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. #LI-DC #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. We're looking for a technical and skilled Staff Data Scientist to play a lead role in the Member Data Scientist team focusing on Complaints Analytics. In this role, you will be responsible for driving insights from customer complaints, you will analyze structured/unstructured complaints data to uncover trends, identify root causes, unlock insights, and provide actionable recommendations to improve customer experience and operational efficiency. The Member Organization is the connective tissue at SoFi, we are dedicated to understanding our members and their behaviors to help them achieve financial independence and reach their goals. As a Staff Data Scientist, you will serve as a data leader, balancing urgent requests, and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will help the team build reliable, efficient, and scalable data foundations. You will create a culture of strong technical ownership, documenting your approach and ideas to socialize, resulting in strategies that have a wide impact within the organization. You will perform analytical deep-dives to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps.  In this role, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills. Additionally, you are expected to work cross functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them.    Responsibilities: Identify high impact business opportunities to help members achieve their financial goals Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation. Develop and apply machine learning models to solve business problems Evaluate and interpret the results of data analysis Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders. Design and implement data collection. Build data pipelines to deploy production level datasets. Collaborate with cross-functional teams and business leader to understand needs and offer data-driven solutions Participate in internal team Knowledge sharing session and willingness to mentor junior Data Scientists in the team Stay up-to-date on the latest data science techniques and technologies   Qualifications: Masters’ or above in quantitative areas: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 7+ years of relevant experience leveraging data-driven analysis to influence key decisions, preferably in a tech company Proven track record of being able to work independently, and proactively engaging with business stakeholders with minimal direction and drive measurable business impact. Advanced skill set in crafting clean, efficient, and scalable code that adheres to industry best practices, including utilization of version control systems like Git. Strong understanding of data mining, machine learning, and statistical modeling.   Conduct A/B testing and other experiments to validate the effectiveness of data models Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics. Identify quasi-experimental opportunities, conduct relevant analyses, communicate results effectively, and collaborate with stakeholders to turn findings into actions Be proficient with SQL, Python (or any other coding language), and visualization tools Experience with using DBT to set up ELT/data pipelines, automate jobs via Airflow  Ability to provide data insights for 0-1 products, comfortable with driving the direction of the roadmap for a data strategy.  Excellent communication and presentation skills, able to create dashboards to deliver insights  Ability to cross collaborate, work in an ambiguous environment with strong problem-solving skills, and mentor junior data scientists.  Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi is driven by data! In this role, you will contribute to the long-term success of SoFi's data vision by developing distributed systems and scalable data platforms. The Data Platform Group supports data use cases across all of SoFi's diverse business units by providing a highly scalable, democratized data platform that empowers teams to ingest, model, and consume data confidently. Join the Data Platform Group as it refines its vision and establishes industry-leading standards for data lifecycle management, introducing best-in-class architectural components and processes to extract value from disparate data sources. The success of this team is vital to the company's success, and your contributions will have a highly visible and lasting impact.   As a Principal Engineer, you'll contribute to the team's technical direction by designing innovative solutions to complex business challenges. You'll collaborate with engineering teams to maximize value for platform consumers, coordinate with squads to align with the Data Platform team's strategy, and provide guidance on testing and deployment strategies. Leveraging your expertise, you'll explore GenAI to enhance data analysis and decision-making. You'll mentor team members and represent the team during recruitment and hiring. The ideal candidate has experience in distributed systems and scalable data platforms.   What you’ll do: Collaborate with cross-functional teams to understand complex business requirements and translate them into scalable, high-impact technical solutions, directly influencing SoFi's data-driven decision-making processes. Lead architectural design sessions for the Data Platform and its integrations (APIs, services), ensuring solutions are not only technically sound but also aligned with broader business goals and significantly contribute to SoFi's overall data strategy. Drive the development of advanced features within the Experimentation platform, ensuring modular, efficient, and scalable code structures optimized for the aforementioned stack. Spearhead rigorous code review processes, underscoring best practices, efficiency, and optimal use of underlying software components unique capabilities and services. Foster and facilitate internal technical sessions, exploring nuances of AWS data services like DMS, MSK (Kafka) , and S3, and sharing best practices for integration with the broader data stack. Provide technical leadership in evaluating and adopting emerging technologies within the modern data stack, ensuring SoFi remains at the forefront of data engineering innovation. Drive Operational excellence across the squads and act as a liaison between Data and other organizations. Implement and track operational metrics to measure progress and identify opportunities for further optimization. Engineer sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations. Leverage Python and SQL scripting proficiencies for intricate data operations, custom ETL/ELT processes, and sophisticated data transformations across the platform. Collaborate with data scientists and ML engineers to explore and implement GenAI solutions for data analysis, feature engineering, and predictive modeling. Contribute to the development of responsible GenAI practices within the organization, ensuring ethical and unbiased use of AI technologies.  Mentor technical team members in best practices for Snowflake, Airflow, dbt, and AWS services, promoting a culture of technical distinction and innovation.   What you’ll need: Educational Background: A Bachelor's or Master's degree in Computer Science, Information Security, or a related field is required; an advanced degree is preferred. Experience: A minimum of 10 years in a pivotal Software/Data Engineering role, with extensive experience in modern data stacks, particularly Snowflake, Airflow, dbt, Kafka, Docker/k8s, and AWS data services. Technical Skills: Strong understanding of data ingestion, orchestration, transformation, and reverse ETL best practices and design principles. Proven skills in distributed systems architecture and building scalable solutions. Mastery in Python, Java, and SQL for complex operations within Snowflake and AWS services like DMS, MSK (Kafka), and S3. Solid experience with Terraform or Cloudformation as IaC solutions. Soft Skills: Strong leadership and communication skills. Experience working in a collaborative coding environment, refining designs together, working through code reviews, and managing pull requests. Demonstrated problem-solving capabilities, especially within the context of the modern data stack and experimentation realm. Exceptional technical communication skills, adept at liaising with both technical peers and diverse stakeholders within a data-driven organization. Demonstrated ability to lead a team of developers, providing technical guidance, mentorship, and support. Nice to have: Data exploration and analysis experience using SQL/Python/R/Tableau.  Experience with prompt engineering and fine-tuning LLMs. Contributions to open-source projects. Experience with data governance and security. Familiarity with machine learning concepts. Experience with finance / fintech or enthusiastic to learn and grow in this space. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are looking for a Credit Risk Manager/Staff Data Scientist to join our Risk Analytics and Verification Strategy within SoFi’s 1LOD Credit team. This team member will work in the team that is responsible for Risk Analytics and Verification Strategy across various SoFi lending products, including Personal Loans, Student Loan Refinances, and Private Student Loans. The Credit Risk Manager will contribute to the performance analysis of SoFi lending products and provide insights into the drivers for losses and recommendations for strategy enhancement opportunities. Additionally, she or he will be responsible for independently developing and implementing income and employment verification strategies to balance a smooth user experience with effective loss prevention. She/He will also collaborate with the Business Unit, Finance, Accounting, Credit, and Independent Risk Management groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages and strong problem-solving and communication skills. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using statistical analysis tools to get to the truth behind the data and inform decisions. By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better.  What you’ll do: Draw strategic insights from data using statistical analysis tools to inform decisions and support SoFi’s overarching strategic goals relative to loss prevention and profit optimization. Bring new ways of thinking, data sources, technologies, and capabilities to SoFi. Develop income and employment verification strategies to enhance the verification funnel customer experience and increase conversion rates while maintaining a balanced approach to risk, business revenue, and customer experience. Design and execute A/B testing initiatives to continuously identify opportunities to improve customer experience while effectively managing credit and fraud risk Explore external credit data to identify trends in the market and industry. Collaborate with business partners such as Business Units, Operations, Marketing, Finance, Legal, and Compliance to deliver successful business results. Partner closely with implementation teams to deploy new strategies accurately. Be inspired by dynamic leaders and our rapidly growing business. We are recruiting the best, brightest, and most passionate quantitative team members. What you’ll need: 7+ years of experience in credit risk management roles, with at least 3 years of experience specializing in fraud and verification strategies within the consumer lending industry. Proven advanced analytical and technical skills in conducting sophisticated data analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems Direct experience in the credit strategy life cycle, including ideation, strategy and decision tree development, P&L, presentation, implementation validation, and post-implementation monitoring Proficient in Python, SQL & Tableau  Strong communication and presentation skills. Demonstrated ability to synthesize and communicate analysis to business partners and senior management High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment Nice to have: Experience using credit bureau tradeline data Experience in credit loss forecasting Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

84.51° Overview: 84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. Join us at 84.51°! __________________________________________________________   LEAD DATA ENGINEER – P3330 84.51° Overview: 84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. Join us at 84.51°! __________________________________________________________ As Lead Data Engineer, your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices.  You’ll be working with data across 2 cloud platforms (Azure and GCP) and thus will be working with a wide variety of technologies.  A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques. Responsibilities Take ownership of systems, processes, and the tech stack while driving features to completion through all phases of the entire 84.51° SDLC.  This includes internal and external facing applications as well as process improvement activities: Provide Technical Leadership : Offer technical leadership to ensure clarity between ongoing projects and facilitate collaboration across teams to solve complex data engineering challenges. Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets. Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms. Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries. Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards.   Optimize Data Workflows: Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments. Mentor Team Members: Mentor team members in data principles, patterns, processes, and practices to promote best practices and improve team capabilities. Draft and Review Documentation : Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements.   Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions. Requirements: Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another STEM degree. Proven experience in leading cross-functional teams and managing complex projects from inception to completion 5+ years of professional Data Development experience. 5+ years of experience with SQL and NoSQL technologies. 3+ years of experience building and maintaining data pipelines and workflows. 2+ years of experience developing with Python. 3+ years of experience developing Kafka solutions. 2+ years of experience in feature engineering for machine learning pipelines. Experience with GCP services such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow. Experience with CI/CD pipelines and processes. Experience with automated unit, integration, and performance testing. Experience with version control software such as Git. Full understanding of ETL and Data Warehousing concepts. Strong understanding of Agile principles (Scrum). Preferred Qualifications Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies). Experience with GitHub SaaS/GitHub Actions. Experience understanding Databricks concepts. Experience with PySpark and Spark development. Experience with Service Oriented Architecture. IMPORTANT INFO Candidates must be able to come into the office on Monday, Tuesday, Wednesday and Thursday of each week. #LI-SSS Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest.  Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.   Pay Range $91,000 — $218,750 USD

Data Entry Specialist EKN Engineering is a civil engineering and technology consulting company located in Irvine, CA. We are looking for an experienced and enthusiastic Data Entry Specialist to join our Permits and Compliance Department. The ideal candidate will have a solid understanding of data entry processes and a keen eye for detail. In this role, you will be responsible for entering accurate and timely data into our database. You will be expected to work with a variety of data sources and maintain our database with up-to-date information. You will also be responsible for ensuring compliance with state and local regulations. We are seeking an organized and motivated individual who is comfortable in a fast-paced environment. A successful candidate will be able to multitask, adapt to change, and possess a strong work ethic. **We have several openings within the role of data entry specialist that have 2 different focuses; one emphasizes technical writing, and the other prioritizes client coordination. Both roles require strong attention to detail, excellent organizational skills, and the ability to handle data with precision. **Please indicate in your application which role you are applying for: 'Technical Writer Focus' or 'Client Coordinator Focus. Responsibilities Reading of construction drawings and coordinating both internally and externally to understand the scope of work. Ensure accuracy and completeness of data and entering systems efficiently. Filling out permit applications and submitting documents for review. Sets permit expectations and deliver reporting in electronic format per customer. Ensure customer data is accurately generated, tracked, and delivered in accordance with the scope of work and/or other customer contractual requirements. Regularly updating databases and tracking all tasks accurately. Monitoring workload and adhering to upcoming deadlines. Troubleshooting data entry issues and resolving them in a timely manner. Helping in the development and implementation of data entry procedures and systems. Coordinate and communicate with the internal team regularly. Assisting with other administrative tasks or projects as needed.   Qualifications Proficiency with Microsoft Office Proven experience in data entry and data analysis Strong knowledge of database management systems Excellent verbal and written communication skills The ability to work with minimal supervision Strong attention to detail and accuracy   Public Warning: Recruitment Phishing Scam Impersonating EKN Engineering EKN Engineering has become aware of a phishing scheme targeting individuals with fraudulent interview requests and job offers. EKN’s secure IT systems and private applicant information have not been compromised; scammers are impersonating EKN employees, using the company name and branding to mislead and engage potential job seekers in fake recruitment processes. Scammers might reference real job openings or describe fake opportunities that generally match individuals’ professional backgrounds, with the goal of establishing communication and eventually obtaining private financial information to defraud people. The Federal Bureau of Investigation and Federal Trade Commission warn that employment scams such as this are a growing cyber threat. EKN urges anyone who is contacted about employment opportunities to exercise caution and know that: · All communication from EKN Engineering will be from an EKN employee using the @eknengineering.com email domain. We do not use third-party recruiters. · EKN Engineering recruiters will only schedule interviews for candidates who have applied for a position through our secure portal. · No corporate or IT systems at EKN are affected by this scam. The scammers are using EKN’s logo and employee names to impersonate the company. · You can directly contact us at TAAdmin@eknengineering.com with any questions or concerns. EKN is committed to ensuring the safety and security of our community. We caution individuals to be vigilant in protecting personal data and vetting communication with new contacts from any company. Do not respond or provide any personal information if contacted by someone claiming to represent a company to which you did not submit a job application or profile. This scam can be perpetrated against any business and individuals who recognize and trust its name. For information on EKN recruitment practices and policies, please visit our career page or email TAAdmin@eknengineering.com. To report a scam, visit: https://reportfraud.ftc.gov/.  

  PDT Partners – a quantitative investment manager – is seeking an intellectually curious, independent, collaborative professional interested in learning about and contributing to a world-class, quantitative trading business to be part of Fund Analytics & Operations. The role provides an opportunity to participate in all aspects of our complex trading operations, to design and execute procedures, as well as to provide analytics and business insights for key management decisions that allow us to grow our strategies.   The Fund Analytics & Operations team contributes to our trading operational alpha by handling trade processing, investigating trade and position breaks, and working with counterparties and internal teams. The team also partakes in new projects, from the launch of new funds to the trading of new products or entering new markets.   The Junior Fund Analytics and Operations Associate will be responsible for completing and improving our trading operations processes between the firm and our counterparties.  Other responsibilities include researching and processing corporate actions, monitoring securities lending rates, and proactively improving the team’s workflow. The analyst will develop data analysis, tools and reports for existing and new businesses. It’s a great opportunity to learn about, and meaningfully shape, a vital part of our firm.   Why join us? PDT Partners has a stellar 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s extremely high employee-retention rate speaks for itself. Our people are intellectually exceptional, and our community is close-knit, down-to-earth, and diverse.   Responsibilities:   Providing operational support by performing core activities as well as reconciling daily trade processing/settlement and positions across various products, regions, and counterparties   Improve existing procedures and create more efficient ones, often in collaboration with many areas of the firm   Manage day-to-day operational relationships with brokers and fund administrators   Create analyses, metrics, and reports for management    Prototype new tools to facilitate structuring and analyzing our post-trade-related data in insightful ways   Participate in new launches, trading with new counterparties, and new markets/products   Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.     1+ year of professional experience; interest in finance is a plus   Demonstrated aptitude for analytical thinking and problem-solving, with intuitive numerical sense   Strong SQL and Excel skills; Python experience or a desire to learn technical skills   Proven ability to resolve issues and to advance multifaceted projects   Excellent communication skills, both verbal and written   Thorough, conscientious, and meticulously attentive to detail   Ability to synthesize details to a senior audience   Knowledge of, or interest in, the trade lifecycle is a plus     Education:   Bachelor’s degree in relevant field    

Work From Home, Entry Level Data Entry Clerk As A Research Participant We are looking for people who want to work remotely from home. You'll need an Internet connection and a mobile device or computer. We need folks who want to do tasks, micro tasks, work at home opinion panels, online focus groups, product testing, research trials and more. This is not a normal 9-5 job, but a fun way to earn extra cash working from home part time on the fly – work when you want. Apply today for free and start earning. Work from home from any location, any hours, any day. Your choice. All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician Requirements: Education varies by study - all education levels accepted Current USA resident Speak, read and understand English / Spanish a plus as more opportunity is available to you Able to focus and follow through This is a remote work from home part time gig, you'll need a computer, laptop or mobile device. Microsoft Word or Excel helpful as a tool to keep yourself organized, but not mandatory Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory Pay Info: Up to 250 hr. per single research study session up to $3,000 per multi-session research study We look forward to working with you! Connect with us via email by applying to this posting! This is for those with any work backgrounds such as Amazon, customer service representative, medical professional, drivers, medical receptionist, our folks come from all backgrounds!

We appreciate you checking us out! Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service rep Thank you for checking us out! Work From Home Data Entry Research Panelist Jobs - Part Time, Full Time This is a remote work from home position perfect for those with any type of work background such as administrative assistant, data entry clerk, typing, customer service representative, drivers etc. We are seeking individuals who are looking for part time or full time work or side gigs to be connected with companies who are hiring employees directly to work from their homes. You will find both full-time and part-time remote opportunities in a variety of career fields. Legitimate Work From Home Data Entry Jobs are going to require that you have skills relevant to the position you are applying for. Training is provided based on the position. JOB PAY up to $250hr. (single session research studies) up to $3,000 (multi-session research studies) JOB REQUIREMENTS Computer with internet access Quiet work space away from distractions Must be able and comfortable to working in an environment without immediate supervision Ability to read, understand, and follow oral and written instructions. Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn You must apply on our website as well so please look out for an email from us once you apply. Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory We look forward to working with you! Connect with us via email by applying to this posting! Flexibility to participate in discussions on-line or in-person. No commute needed if you choose to work from residence. No minimum hours. You can do this part-time or full-time Enjoy cost-free samples from our sponsors and partners for your feedback on their products. Click the 'Apply' button to make an application for this position now. This position is open to anyone looking for short-term, work at home, part-time or full-time job. The hrs are adaptable and no previous experience is required. Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, call facility representative, and so on. If you are seeking a versatile part-time remote work from home job, this is a wonderful position for making a good side revenue.s or drivers. Unleash your skillset within an accommodating role that can be managed from any location! Are you searching for a new way to make money? Look no further – we are seeking individuals now who can work remotely from their own homes! Whether it's part-time or full-time, discover an opportunity that works best with your schedule. You will find both full-time and part-time remote opportunities in a variety of career fields. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Companies providing these jobs offer comprehensive training to the successful applicant so they can excel at their role! JOB REQUIREMENTS Computer with internet access Quiet work space away from distractions Must be able and comfortable to working in an environment without immediate supervision Ability to read, understand, and follow oral and written instructions. Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn JOB PAY up to $250hr. (single session research studies) up to $3,000 (multi-session research studies) Applying on our website is necessary to ensure you receive important updates from us. Keep an eye out for emails with further instructions! To get started, these are the essential elements you'll need! LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory We're eager to collaborate with you! Take the next step and reach out via email--apply now for a position today! Take control of your work schedule with our flexible position that allows for remote or in-person participation. With no minimum hours, you can choose to tackle this role part time or full time from the comfort of home. Plus, gain exclusive access to complimentary samples from sponsors and partners as a reward for offering valuable feedback on their products! Act now by clicking 'Apply' and launch into an exciting new work at home job today! This position is open to anyone looking for short-term, work at home, part-time or full-time job. Do you want to add an extra stream of income ? Let us help! By participating in our paid market survey, people from all walks of life can earn some money. No prior experience is needed and the hours are flexible—perfect for those looking for a part-time job they can do remotely. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning!

Work From Home, Entry Level Data Entry Clerk As A Research Participant We are looking for people who want to work remotely from home. You'll need an Internet connection and a mobile device or computer. We need folks who want to do tasks, micro tasks, work at home opinion panels, online focus groups, product testing, research trials and more. This is not a normal 9-5 job, but a fun way to earn extra cash working from home part time on the fly – work when you want. Apply today for free and start earning. Work from home from any location, any hours, any day. Your choice. All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician Requirements: Education varies by study - all education levels accepted Current USA resident Speak, read and understand English / Spanish a plus as more opportunity is available to you Able to focus and follow through This is a remote work from home part time gig, you'll need a computer, laptop or mobile device. Microsoft Word or Excel helpful as a tool to keep yourself organized, but not mandatory Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory Pay Info: Up to 250 hr. per single research study session up to $3,000 per multi-session research study We look forward to working with you! Connect with us via email by applying to this posting! This is for those with any work backgrounds such as Amazon, customer service representative, medical professional, drivers, medical receptionist, our folks come from all backgrounds!

About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. Job Description Tekion is seeking a visionary and highly experienced Principal Data Scientist (internally: Principal, Applied Science ) Engineer to drive transformative innovation within the automotive industry. In this strategic role, you will lead the design, development, and deployment of cutting-edge machine learning (ML) and artificial intelligence (AI) solutions that redefine customer experiences and business operations. As a senior technical leader, you will shape Tekion's data science strategy, mentor technical teams, and solve complex industry challenges through data-driven solutions. This role requires exceptional technical depth, leadership, and the ability to influence across the organization. Key Responsibilities Define and lead the strategic vision for Tekion’s Applied Science initiatives, aligning with business goals to drive innovation and industry disruption. Provide deep technical expertise and leadership in developing and deploying scalable ML/AI models to solve complex, high-impact automotive industry problems. Collaborate with cross-functional executive leaders, product managers, and engineering teams to identify opportunities for machine learning solutions and implement them effectively. Design and oversee production-grade ML systems, integrating models into decision-making platforms and business applications. Drive the development and continuous improvement of state-of-the-art algorithms, ensuring robust evaluation metrics for both offline and online performance. Identify and incorporate diverse data sources, applying innovative techniques to enhance model accuracy, scalability, and impact. Lead the creation of end-to-end ML pipelines, ensuring best practices in data processing, model deployment, monitoring, and governance. Mentor and guide senior data scientists and applied scientists, fostering a high-performance culture of technical excellence and continuous learning. Publish and present cutting-edge research internally and externally to reinforce Tekion’s leadership in applied data science. Influence industry trends by identifying emerging technologies and integrating them into Tekion's product and research roadmaps. Skills and Experience PhD or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Operations Research, or a related field. 15+ years of experience in applied science, data science, or machine learning roles with a significant track record of delivering business impact through AI/ML solutions. Expertise in advanced ML algorithms, deep learning, and statistical modeling, with hands-on experience deploying models in production environments. Extensive programming experience in Python and/or similar languages, with strong software development skills and proficiency in version control (e.g., Git). Proven experience in designing scalable, distributed machine learning systems and pipelines. Strong understanding of big data ecosystems and tools (e.g., Spark, Hadoop, Kafka). Exceptional ability to translate complex data science concepts into strategic business decisions. Demonstrated leadership in mentoring senior technical staff and fostering innovation. Preferred Skills Deep expertise in Recommendation Systems, Natural Language Processing (NLP), and Computer Vision. Extensive domain knowledge of the automotive industry and its business models. Experience integrating ML models with cloud infrastructure (AWS, Azure, or GCP) and MLOps practices. Strong interpersonal and executive communication skills, with the ability to articulate technical concepts to non-technical stakeholders. A proactive, self-starter mindset with a passion for solving ambiguous and complex problems. Active contributor to the data science and machine learning community through publications, open-source projects, or speaking engagements Perks and Benefits Competitive compensation and generous stock options   100% employer-paid top-of-the-line medical, dental and vision coverage   Great benefits including unlimited PTO, parental leave and free snacks and beverages   The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies   Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper   Work on the latest and coolest technologies – everything is home-grown and built ground-up   A dynamic work environment with a strong sense of community and collaboration   The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy   Exciting opportunities for career growth and development   Current Tekion Employees – Please apply via Greenhouse Internal Job Board The salary range describes the minimum to maximum base salary range for this position across applicable US locations . The actual compensation offered may vary from the posted hiring range based on geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.   In addition to the compensation listed, this position may be eligible for equity compensation, and a bonus or commission whereby total compensation may exceed base salary depending on individual or company performance. Your recruiter can share more about the specific salary range during the hiring process. Base Salary Range $200,000 — $300,000 USD Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.   For more information on our privacy practices, please refer to our Applicant Privacy Notice h e re .

Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company’s patient-centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit  www.azurity.com . Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization. Job Description: Utilize Snowflake (e.g., SnowPark ML), SQL, Python (including libraries such as Pandas and Numpy) and Palantir Foundry to assess, clean, and analyze structured and unstructured datasets to extract actionable insights. Build, train, and evaluate machine learning (ML) models and/or statistical algorithms using Python (e.g., Scikit-Learn, Pytorch) or other appropriate tools (e.g., MLflow) to solve complex business problems. Collaborate with engineering teams to deploy models into production environments using our Azure and Palantir Foundry-based DS platform. Enforce best coding practices within the software development lifecycle (SDLF) including e.g., Version control (Git), Docker, documentation and Agile/Scrum methodologies. Act as an internal technical consultant to understand business requirements and translate them into data-driven solutions for projects spanning our analytics and ML initiatives (e.g., in Commercial). Communicate findings and insights to both technical and non-technical audiences through data visualizations and presentations. Design and analyze A/B tests or other experiment frameworks to assess the impact of Commercial business strategies. Iterate on models and algorithms for performance, scalability, and accuracy. Document processes, methodologies, and findings to ensure reproducibility and collaboration across teams. Stay current with the latest trends and advancements in data science, machine learning, and AI. Requirements: Master’s degree in data science, computer science or a related STEM field, or foreign equivalent, plus six months of experience or internship (pre or post-graduation) in data analysis, data science, statistical modeling, or a related analytical field using object-oriented (OOP) programming languages such as Python and C++ and query languages such as SQL. Travel: The position requires travel to and from Azurity’s all colleague annual meeting that meets in various locations nationwide. Salary: $143,000 to $145,000 Hours: 40/week, 9:00 a.m. – 5:00 p.m. Location: 8 Cabot Road, Suite 2000 Woburn, MA 01801 with a hybrid schedule allowing for remote work two days per week within Massachusetts.   Physical & Mental Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be able to sit for long periods of time While performing the duties of this job, the employee is frequently required to stand; walk; sit; talk and/or hear May occasionally climb stairs and/or ride elevators The employee must occasionally lift and/or move up to 25 pounds Employee must be able to manipulate keyboard, operate a telephone and hand-held devices Other miscellaneous job duties as required Benefits We Offer: Unlock Your Earning Potential: Join our team and be rewarded with a competitive compensation package, including an annual bonus based on company performance, that recognizes your exceptional talent. Sales - In lieu of annual bonuses, we offer an Incentive compensation program that allows you to earn more - even over plan. Fuel Your Success: * Sales Only* - We understand the value of your hard work and provide a car reimbursement program and gas card for both business and personal use as part of our commitment to supporting you.  Comprehensive Health Coverage: We value your well-being and offer excellent medical, dental, vision, and prescription coverage to ensure you and your family are always taken care of. Flexibility for Your Lifestyle: Achieve work-life balance with our hybrid work model, allowing you to work two days from home and three days in the office. * Excludes Sales, Manufacturing, and some Operations positions* Start Your Week on a High Note: Indulge in our “Bagel Tuesday” perk, where you can enjoy a fresh bagel on us every Tuesday morning. **Only for On-site/Hybrid colleagues** Invest in Your Future: Our Retirement Savings Plan (401K) is designed to help you secure a comfortable retirement by matching dollar for dollar up to 5%. Time Off That Counts: Take advantage of our generous time off policy, which offers up to 15 vacation days annually + rollover (up to 40 hours) as well as five sick/wellness days. For new employees, vacation accrual will be prorated based on your start date. Meaningful Time with Your Loved Ones: We close between Christmas and New Year’s to give you an extra week off to spend quality time with your family and recharge. Enjoy the Holidays: Over the course of the year, Azurity recognizes 13 holidays. Summer Vibes: Embrace the summer season with our Summer-Hours perk, available between Memorial Day and Labor Day. **Excludes Sales Colleagues** Invest in Your Education: We support your professional growth with tuition reimbursement for undergraduate and graduate level courses or certifications. Recognize and Be Recognized: Our Azurity High Five peer recognition platform allows you to celebrate your colleagues' accomplishments and receive recognition for your own outstanding work.   The California Consumer Privacy Act regulates privacy rights and consumer protection for residents of California, United States. For details, click here. The General Data Protection Regulation (GDPR) sets guidelines for the collection and processing of personal information from individuals who live in the European Union (EU).  

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.