data scientist

job summary: Seeking a highly skilled and motivated Analytics Engineer to join a dynamic team. As a key contributor, you will be responsible for assisting with creation of automated data extractions, transformation, and loads (ETL) between various software systems managed by the client Equipment division. Currently this is being managed through manual processes. You will also assist with ETL from Equipment division software systems and their Data Warehouse (Microsoft Fabric Platform), and will create dashboards using Microsoft PowerBI for enhanced business insights. This is a contract to hire role with expectation to convert or extend after 6 months.   location: Towson, Maryland job type: Contract salary: $60 - 65 per hour work hours: 8am to 5pm education: No Degree Required   responsibilities: Job Duties - - Assist with creating automated data extractions, transformations, and loads (ETL) between various software systems managed by the Equipment division. Currently this is being managed through manual processes - Assist with ETL from Equipment division software systems and our Data Warehouse (Microsoft Fabric Platform) - Create Dashboards using Microsoft PowerBI for enhanced business insights and decision making for the Equipment division leaders - Assist with the development of predictive analytics resources based on data in our Data Warehous   qualifications: Job Requirements - Required - Excellent verbal and written communication skills - Must be onsite 3 days/week at: 300 E Joppa Rd Ste 800 Baltimore, Maryland 21286 - 5+ years of Experience in the Analytical Reporting and Dashboarding - 5+ years of Experience in Data Management and Pipelining (ETL) - 5+ years of Experience in Data Analysis - 5+ Years of Experience in SQL Database Programming - Strong Knowledge of Microsoft Power Platforms (PowerBI, Power Automate, Power Apps) - Enterprise Data Governance experience (Microsoft Purview Preferred) - Experience with data concepts, large data architectures and systems engineering towards data- centric solutions. - Experience working with cloud platforms (Azure) to leverage cloud services for scalable and flexible data solutions. - Excellent customer service skills - strong technical, analytical, and problem-solving skills Power BI Dashboard Visualization - Data Model development - Deep Excel Expertise "Back-End" understanding to pull data - SQL primarily - Also, they use an Oracle based (on premise) ERP - ETL Process knowledge Azure Analytics - Azure Data Lake - Azure Factory - Microsoft Fabric (new) Communication, team collaboration and other soft skills are equally as important. Also someone that lives nearby who is willing to come in 2-3 days per week and open to potentially going to 5 days the week down the line (if the client makes that mandatory. #LI-KC1   skills: Azure Data Factory - Microsoft Power Platforms (PowerBI, Power Automate, Power Apps) - Analytical Reporting and Dashboarding - Data Management and Pipelining (ETL) Desired Skills & Experience - - Knowledge of construction industry (preferred) - Experience with Azure Data Factory (preferred) - Should have experience working in Agile methodology. - Oracle 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.

job summary: Work Location Options: 100% telecommuteHYBRID - Irving, TX   location: Irving, Texas job type: Contract salary: $65 - 75 per hour work hours: 8am to 5pm education: No Degree Required   responsibilities: Responsibilities: - The Data Analytics Specialist will develop data solutions to advance initiatives needed to support the Program and Pricing Organization. This will help grow and expand the formulary across key customer segment. - Responsible for developing, analyzing, and modeling to solve complex business problems. - Oversees business reporting to multiple levels of customer segmentation: Segment / Chain / Region / Primary / Secondary - Support the development of customer-level metrics needed to manage market differentiating programs accurately. Forecast the economic impact of potential deals, pricing proposals, and initiatives. - Manage data compilation, analysis, and reporting via SQL and other tools to forecast trends and apply various analytical techniques (i.e., mathematical models and statistical techniques) to support customer growth. - Establish and convey a complete understanding of the Value Proposition to the stakeholders   qualifications: Skills: - 5-6 years of relevant experience - Proficiency in SQL Programming language. Familiarity with Microsoft Azure, Databricks, Snowflake, and SQL Server - Knowledge of programming languages like Python or R for automation and data analysis. - Expertise in tools like Tableau or Power BI. Ability to create clear and insightful visualizations to present data findings. - Experience with reporting tools like SSRS or Business Objects - Strong analytical skills with prior experience in pricing and building margin optimization models. - In-depth knowledge of statistical tests and methodologies. - Understanding of probability theory. - Proficiency in data cleaning and preprocessing techniques. - Ability to handle missing data, outliers, and data transformation. - Ability to approach problems logically and systematically. - Strong problem-solving skills. - Familiarity with or understanding of the healthcare and redistribution industry. - Ability to explain complex technical concepts to non-technical stakeholders. - Ability to work effectively in a team environment. - Experience in collaborating with cross-functional teams. - Understanding of business processes and objectives. - Ability to align data analysis with business goals. - Ability to identify, recommend, and implement new ideas for generating incremental AOP. - Strong communication and stakeholder management skills. Ability to work directly with the internal stakeholders.   skills: Skills: - 5-6 years of relevant experience - Proficiency in SQL Programming language. Familiarity with Microsoft Azure, Databricks, Snowflake, and SQL Server - Knowledge of programming languages like Python or R for automation and data analysis. - Expertise in tools like Tableau or Power BI. Ability to create clear and insightful visualizations to present data findings. - Experience with reporting tools like SSRS or Business Objects - Strong analytical skills with prior experience in pricing and building margin optimization models. - In-depth knowledge of statistical tests and methodologies. - Understanding of probability theory. - Proficiency in data cleaning and preprocessing techniques. - Ability to handle missing data, outliers, and data transformation. - Ability to approach problems logically and systematically. - Strong problem-solving skills. - Familiarity with or understanding of the healthcare and redistribution industry. - Ability to explain complex technical concepts to non-technical stakeholders. - Ability to work effectively in a team environment. - Experience in collaborating with cross-functional teams. - Understanding of business processes and objectives. - Ability to align data analysis with business goals. - Ability to identify, recommend, and implement new ideas for generating incremental AOP. - Strong communication and stakeholder management skills. Ability to work directly with the internal stakeholders. 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: We're looking for an incredible Senior Computer Vision Data Scientist to create computer vision models that will power our computer vision systems. Our autonomous robots take millions of pictures every day and the computer vision solutions will help identify when products are out of stock, where items are located, if prices are correct, and so much more. Our computer vision systems also detect items in shopping cart and improve member exit experiences Check out these press releases, (Auto Inventory, Exit Tech)to get a better idea about the technology you will directly be working on. What you'll do: Involve in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computingResearch and development of computer vision and machine learning algorithms for object detection, recognition, segmentation, and trackingActively attend premier conferences and events in the communityDesign, implement and deliver computer vision software systems to facilitate retail businessBuild scalable solutions to some of the challenging recognition problems in computer vision and continuously improve performance of existing algorithmsDrive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructuresMaintain substantial knowledge of state-of-the-art principles and theories related to computer visionServe as technical lead in vision area and work closely with other data scientists, software engineers, product managers and operations to create high quality and highly performing solutions You'll sweep us off our feet if you have: Proficiency in computer vision and deep learning algorithms such as object detection, image classification, image segmentation, and video analysisStrong understanding of probability and statistical models (generative and descriptive models)Ability to run experiments scientifically and analyze resultsAbility to effectively communicate technical concepts and results to business audiences in a comprehensive mannerAbility to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operationsProficiency in coding (Python)5 years' experience in building Computer vision/Machine Learning based models in a professional environmentMaster degree with 3-year industrial experience or PhD degree with 1-year industrial experience   location: San Bruno, California job type: Contract work hours: 8am to 5pm education: Doctorate   responsibilities: We're looking for an incredible Senior Computer Vision Data Scientist to create computer vision models that will power our computer vision systems. Our autonomous robots take millions of pictures every day and the computer vision solutions will help identify when products are out of stock, where items are located, if prices are correct, and so much more. Our computer vision systems also detect items in shopping cart and improve member exit experiences Check out these press releases, (Auto Inventory, Exit Tech)to get a better idea about the technology you will directly be working on. What you'll do: Involve in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computingResearch and development of computer vision and machine learning algorithms for object detection, recognition, segmentation, and trackingActively attend premier conferences and events in the communityDesign, implement and deliver computer vision software systems to facilitate retail businessBuild scalable solutions to some of the challenging recognition problems in computer vision and continuously improve performance of existing algorithmsDrive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructuresMaintain substantial knowledge of state-of-the-art principles and theories related to computer visionServe as technical lead in vision area and work closely with other data scientists, software engineers, product managers and operations to create high quality and highly performing solutions You'll sweep us off our feet if you have: Proficiency in computer vision and deep learning algorithms such as object detection, image classification, image segmentation, and video analysisStrong understanding of probability and statistical models (generative and descriptive models)Ability to run experiments scientifically and analyze resultsAbility to effectively communicate technical concepts and results to business audiences in a comprehensive mannerAbility to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operationsProficiency in coding (Python)5 years' experience in building Computer vision/Machine Learning based models in a professional environmentMaster degree with 3-year industrial experience or PhD degree with 1-year industrial experience   qualifications: We're looking for an incredible Senior Computer Vision Data Scientist to create computer vision models that will power our computer vision systems. Our autonomous robots take millions of pictures every day and the computer vision solutions will help identify when products are out of stock, where items are located, if prices are correct, and so much more. Our computer vision systems also detect items in shopping cart and improve member exit experiences Check out these press releases, (Auto Inventory, Exit Tech)to get a better idea about the technology you will directly be working on. What you'll do: Involve in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computingResearch and development of computer vision and machine learning algorithms for object detection, recognition, segmentation, and trackingActively attend premier conferences and events in the communityDesign, implement and deliver computer vision software systems to facilitate retail businessBuild scalable solutions to some of the challenging recognition problems in computer vision and continuously improve performance of existing algorithmsDrive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructuresMaintain substantial knowledge of state-of-the-art principles and theories related to computer visionServe as technical lead in vision area and work closely with other data scientists, software engineers, product managers and operations to create high quality and highly performing solutions You'll sweep us off our feet if you have: Proficiency in computer vision and deep learning algorithms such as object detection, image classification, image segmentation, and video analysisStrong understanding of probability and statistical models (generative and descriptive models)Ability to run experiments scientifically and analyze resultsAbility to effectively communicate technical concepts and results to business audiences in a comprehensive mannerAbility to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operationsProficiency in coding (Python)5 years' experience in building Computer vision/Machine Learning based models in a professional environmentMaster degree with 3-year industrial experience or PhD degree with 1-year industrial experience   skills: We're looking for an incredible Senior Computer Vision Data Scientist to create computer vision models that will power our computer vision systems. Our autonomous robots take millions of pictures every day and the computer vision solutions will help identify when products are out of stock, where items are located, if prices are correct, and so much more. Our computer vision systems also detect items in shopping cart and improve member exit experiences Check out these press releases, (Auto Inventory, Exit Tech)to get a better idea about the technology you will directly be working on. What you'll do: Involve in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computingResearch and development of computer vision and machine learning algorithms for object detection, recognition, segmentation, and trackingActively attend premier conferences and events in the communityDesign, implement and deliver computer vision software systems to facilitate retail businessBuild scalable solutions to some of the challenging recognition problems in computer vision and continuously improve performance of existing algorithmsDrive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructuresMaintain substantial knowledge of state-of-the-art principles and theories related to computer visionServe as technical lead in vision area and work closely with other data scientists, software engineers, product managers and operations to create high quality and highly performing solutions You'll sweep us off our feet if you have: Proficiency in computer vision and deep learning algorithms such as object detection, image classification, image segmentation, and video analysisStrong understanding of probability and statistical models (generative and descriptive models)Ability to run experiments scientifically and analyze resultsAbility to effectively communicate technical concepts and results to business audiences in a comprehensive mannerAbility to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operationsProficiency in coding (Python)5 years' experience in building Computer vision/Machine Learning based models in a professional environmentMaster degree with 3-year industrial experience or PhD degree with 1-year industrial experience 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. Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance. Qualified applicants in the unincorporated areas of Los Angeles County with criminal histories will be considered for employment in accordance with the Los Angeles County's Fair Chance Ordinance for Employers. We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.