data scientist

job summary: As a Lead Data Scientist with a focus on both reporting and predictive modeling, your day-to-day responsibilities will include a mix of tasks related to data analysis, visualization, and predictive model development. Your core duties will consist of: Exposing Insights: As a Data Scientist, your goal is not to just display data, but turn it into information. You will produce analysis reports and diagnostic models to try and discover hidden relationships and patterns between our data and metrics of interest.Evaluate & Produce Quality: Good code is reviewed code. You will be involved in ensuring your and your teammates' code is free from errors, bias, and is easy to understand.Data Engineering: We are a newer team at a growing company, and you'll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Perform feature engineering to generate new variables or transform existing ones to improve the quality and usefulness of the dataset. Tie all these tasks together in a pipeline and deploy on cloud based infrastructure.Predictive Modeling: Develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques, such as regression, classification, clustering, time series forecasting, and optimization.Generative Modeling: Use a combination of open source and paid technologies to produce abstractions & novel features for other applications.Continuous Improvement: Data Science is a quickly moving field and you'll need to keep up to date. You will need to keep abreast of the latest developments in data science, machine learning, and reporting technologies, while incorporating them into your work when appropriate. Participate in knowledge-sharing sessions to contribute to the growth and development of others. Basic Qualifications: 6+ years of experience in a data science or machine learning roleExperience with business efficiency metrics, such as: Customer Acquisition Cost (CAC), Revenue Acquisition Cost (RAC), Retention, Margin, Annual Recurring Revenue (ARR), Lifetime Value (LTV), and Engagement.Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit, Dash, etc...Proficiency with PythonProficiency with SQLKnowledge of machine learning algorithms and statistical techniques for predictive modeling, such as: Regression, Classification, Clustering, Time Series Analysis, and OptimizationProficiency with end-to-end pipelinesExpert knowledge in model evaluation metricsExperience pulling data from various third party systems and APIsProficiency with version controlProven ability to work both independently and as part of a teamProficiency with visualization in pythonFamiliar with best practices in secure data handling and customer data privacy Preferred Qualifications: Prior experience in the financial planning industryPrior experience in the consumer technology industryPrior experience using containers to produce repeatable and shareable codePrior experience with Natural Language ProcessingPrior experience with cloud deploymentPrior experience with Neural Networks and/or LLMs   location: BALTIMORE, Maryland job type: Permanent salary: $175,000 - 195,000 per year work hours: 9am to 5pm education: Bachelors   responsibilities: Build complex models for both operational insights as well as Gen AI driven functionality within a consumer software productEnable your own work by occassionally performing your own data engineering to remove blockers and achieve end goalsOptimize models given infrastructural and pricing constraints (understand drivers and optimally leverage tools like Vertex AI and HuggingFace or MistrelEnable the business to overcome / solve top level problems by delivering deep, data driven insights to solve business problems and novel features that optimize business efficiency   qualifications: Experience level: ExperiencedMinimum 6 years of experienceEducation: Bachelors  skills: Data Warehouse Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

job summary: Published Job Summary Responsibilities This role is for Data Science Product management, so experience in managing DS and AI Products is strongly preferred. We need an experienced Product Manager to join our team! We're looking for candidates with a technical background who have experience as a Product Manager with an Analytics-based product. Candidates should enjoy crafting and selling a vision, gathering requirements from users, and working with the Data Science & Engineering teams to break down and prioritize the work. We're looking for someone with a proven track record demonstrating measurable business impact and who can thrive in ambiguous situations while being a true team player. We value a culture that is collaborative, academic, intellectually curious, fun, open, and diverse. Qualifications Skills Manager Experience Experienced5 year(s) For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.   location: BEAVERTON, Oregon job type: Contract salary: $55 - 60 per hour work hours: 8am to 4pm education: Bachelors   responsibilities: This role is for Data Science Product management, so experience in managing DS and AI Products is strongly preferred. We need an experienced Product Manager to join our team! We're looking for candidates with a technical background who have experience as a Product Manager with an Analytics-based product. Candidates should enjoy crafting and selling a vision, gathering requirements from users, and working with the Data Science & Engineering teams to break down and prioritize the work. We're looking for someone with a proven track record demonstrating measurable business impact and who can thrive in ambiguous situations while being a true team player. We value a culture that is collaborative, academic, intellectually curious, fun, open, and diverse.   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: Manager Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

job summary: Responsibilities Manage a staff of direct reports, responsible for coaching, counseling and assisting with development of individual career development and training plansArchitect best in class Enterprise Data Analytics foundation (warehouse, lake, datamarts) in the Azure Cloud (Azure Data Fabric) for consumption by multiple data presentation applicationsEnsure scalability, performance, and cost-effectiveness of the data storage systems during implementation and post-implementation phasesParticipate in the design of the Logical Roadmap for Data MigrationParticipate in developing comprehensive plans and roadmaps for migrating multiple data sources to cloud platforms, specifically Azure Data FabricParticipate in the overall project planning defining milestones, timelines, and deliverables aligned with business objectivesCollaborate with developers, analysts, and businesses SMEs to understand and translate goals and objectives into data & analytics architectures and modelsProvide technical expertise for product teams that are building foundational solutions using the Azure Cloud platformEnsure adherence to all data governance policies, procedures and standards throughout the process and the ultimate solutionEvaluate new tools, frameworks, and solutions that could enhance data architecture and migration strategiesStay updated with the latest advancements and emerging technologies in cloud computing and data engineeringManage and contract with vendors necessary to accomplish the aforementioned activities; includes vendor selection and vendor relationship managementEnsure all established Sarbanes Oxley ITGC controls are enforced Qualifications Bachelor degree in computer science, information technology or related field6-10 years of experience delivering data architecture and solution architecture for data management, data engineering and data operationsHands-on experience with the backend components of Azure Data Fabric including Synapse Data Warehouse, Azure Synapse Analytics, One Lake (Data Lake), Data Factory, and Data BricksIn-depth understanding of data engineering principles, data architecture, and data management practicesExpertise in Data Warehousing/Dimensional ModellingExpertise in SQL ServerProficiency in designing and implementing scalable data solutionsWorking knowledge of Power BI and Power AppsFundamental knowledge of ETL ProcessingKnowledge off Azure DevOpsDemonstrates a problem-solving approach to challengesAbility to work independently and pay close attention to detail Possess excellent written and oral communication skills accompanied by well-developed organizational and time management skillsPossess solid decision making along with negotiation skills   location: Whippany, New Jersey job type: Permanent salary: $115,000 - 135,000 per year work hours: 8am to 5pm education: Bachelors   responsibilities: Data Engineer Manager to be responsible for overseeing the architecture and management of data systems. Ensuring data accuracy and quality, identifying inconsistencies, and resolving data issues. You will participate in the design and implementation of ETL (Extract, Transform, Load) processes and event data processing preparing data for use by various internal stakeholders. Additionally, you make data accessible through reporting platforms and consult internal customers on data utilization. You also analyze data to derive business-relevant insights and communicate these findings to stakeholders, aiding in data-driven decision-making. In this position, you are expected to be proactive in identifying areas for improvement in data systems and processes. Your expertise is crucial in guiding our data strategy and ensuring that data infrastructure supports business objectives effectively.   qualifications: Experience level: ManagerMinimum 8 years of experienceEducation: Bachelors  skills: SQLManagerData AnalysisData WarehouseData WarehouseData WarehouseData AnalysisData WarehouseData WarehouseData AnalysisProject Management Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.