Data Science Intern
Data Science Internship Job 26 miles from Manchester
The Data Science Intern will support various data-driven projects aimed at enhancing our research and development initiatives. The intern will be involved in tasks that may include data engineering, data science, and data visualization to improve our data capabilities and drive innovation in construction materials. The intern will collaborate closely with cross-functional teams to analyze data, build models, develop visualizations, and implement data solutions that support decision-making processes across the organization.
Duties and Responsibilities:
Assist in the collection, cleaning, and transformation of data from multiple sources to support various R&D projects.
Develop and maintain data pipelines to ensure accurate and efficient data flow and processing.
Build and optimize machine learning models to extract insights and forecast trends.
Collaborate with the team to design, develop, and implement data visualizations and dashboards using tools like Power BI, Alteryx, or similar.
Perform exploratory data analysis to identify patterns, trends, and correlations within large datasets.
Participate in the documentation of data models, methodologies, and findings.
Contribute to the integration of advanced data science techniques (e.g., computer vision, natural language processing) into existing processes.
Present analysis results and findings to stakeholders through reports, visualizations, and presentations.
Stay up-to-date with the latest trends and best practices in data science, machine learning, data engineering, and Generative AI.
Support the team in evaluating and adopting new technologies and methodologies by staying up-to-date with the latest trends and best practices in data science, data engineering and Generative AI.
Data Scientist, Infra Capacity Planning (Leadership)
Data Science Internship Job 16 miles from Manchester
As a Data Scientist, you will collaborate on a wide array of product and technical problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve our biggest challenges across our Infrastructure organization. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.We are seeking a highly skilled and experienced Data Scientist to lead the development of data-driven solutions for Meta's Infrastructure organization. Meta's Infrastructure organization provides the backbone on which the company operates. This includes all of the data centers, servers, network infrastructure, power infrastructure etc needed to run our products and services.As a key member of the Capacity team, you will be responsible for planning and optimizing the company's infrastructure needs, ensuring timely delivery, and efficient operation. In addition to tackling an incredibly complicated optimization problem, we are looking for someone who can expertly execute across the company, as this charter requires contribution from nearly every org at Meta.
**Required Skills:**
Data Scientist, Infra Capacity Planning (Leadership) Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
7. 12+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
9. Experience framing and communication skills.
10. Proven intellectual curiosity and drive, decisiveness, with ambiguity and complexity.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience in infrastructure planning, operations research, or a related field
12. Familiarity with cloud computing platforms and infrastructure management systems
13. Masters or Ph.D. Degree in a quantitative field.
**Public Compensation:**
$253,000/year to $314,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Supply Support Data Analyst
Data Science Internship Job 17 miles from Manchester
Spectrum is seeking a talented Supply Support Analyst (Data Analysis) who will leverage their experience and abilities to provide analytical and programmatic support to the V-22 Readiness at our customer site in Philadelphia, PA. As a pivotal member of the team, you will handle the following:
Key Abilities and Responsibilities:
Provide model for predicting future demands in support of fleet and depot repairs.
Provide Analytic toolset for analyzing RCB degrader list
Provide monthly inputs to senior officials on the status of readiness initiatives.
Identify risks to the program enabling corrective actions to formal readiness initiatives.
Provide analysis of Program data and report findings.
Supply weekly/monthly reports to leadership and other stakeholders.
Develop toolsets that identify the critical linkage between engineering data, provisioning data, failure data, material consumption data, and maintenance feedback to enable improved support for Organizational, Intermediate, and Depot repair activities.
Compile data that measure the effectiveness of allowance packages for maintenance and repair of V-22 aircraft and make recommendations for improved effectiveness where possible.
Provide continuous input and update of current data to ensure trends and get-well dates are established.
Required Skills and Experience:
Minimum of 5 years of experience supporting DOD supply/logistics.
Minimum of 3 years of experience in the field of Navy aviation
Minimum of 2 years of experience with LOGCELL, TABLEAU, and ERP systems
Advanced computer skills, including proficiency with MS Office Suite, especially Excel and Access.
Familiarity with project management
Ability to analyze, interpret and present data as well as detect trends to assist in management decisions.
Education: N/A
Security Clearance: N/A
Spectrum is proud of our diverse workforce and diligently committed to remaining an Equal Opportunity Employer. Spectrum governs all employment related decisions without regard to an individual's race, color, sex, religion, national origin, age, disability, veteran status or any other protected classification.
[EEO/AA/Protected Veterans/Individuals with Disability employer].
Membership Data Analyst
Data Science Internship Job 16 miles from Manchester
The Membership Data Analyst is a subject matter expert responsible for driving innovation regarding the utilization of business systems, data management, and data analysis in support of the organization's membership goals and initiatives. The Membership Data Manager must be located with GSHPA's 30-county footprint in Pennsylvania, as this is not a remote position.
Key Responsibilities
Maintain a data-first perspective designed to leverage data to drive competitive advantages in membership sales and marketing.
Develop and maintain a data quality approach to ensure reliable and actionable data by setting standards for data quality, identifying data issues, and resolving.
Analyze, interpret, and communicate data on all aspects of membership trends and business process optimization within the organization and industry.
Ensure accurate membership reporting and dashboards to update staff and leadership on membership data and trends to drive growth.
Stay up to date on Girl Scouts of the USA, other Girl Scout councils, and other membership-based organizations for best practices and new trends.
Develop predictive workflow metrics for the membership department to set benchmarks, prioritize efforts, forecast expected results, and continuously improve outcomes.
Utilize a cloud-based digital marketing platform (Salesforce Marketing Cloud) to create and manage personalized customer journeys across multiple channels, such as email and SMS, in support of the organization's membership campaigns and growth strategy.
Serve as a subject matter expert for the business intelligence tool, Looker, to help staff access, analyze, and visualize business data.
Participate in collaborative planning and execution with the Directors of Membership and Marketing & Communications on strategy, timelines, and deliverables for all major membership recruitment and retention campaigns, providing subject matter expertise on reporting, analytics, best practices for utilization of council business systems, and evaluation of new technologies and services.
Track and evaluate lead generating activities (flyers, posters, web ads, social posts, etc.) to determine success rates for lead generation and conversion.
Provide professional, quality, customer service to all internal and external customers.
Provide reports and data from Salesforce and Looker to other departments as needed.
Handle confidential information with integrity and discretion.
Demonstrate commitment to the Girl Scout mission by representing GSHPA in a positive and professional manner.
Perform other duties as assigned in support of council-wide initiatives and/or cross functional teams to further the mission of GSHPA.
Requirements
Bachelor's degree in Math, Computer Science, Quantitative Business Analysis, or related field required.
Highly proficient in the use of Microsoft Office, Adobe Acrobat, virtual meeting platforms and marketing platforms.
Demonstrated ability to use data to develop strategies and processes that successfully drive growth and meet organizational goals.
Experience with Salesforce or other CRM.
Experience with Looker or other business intelligence tool.
Efficiently operate standard office equipment.
Work with individuals of diverse backgrounds and ages in a professional manner.
Strong mathematical and analytical skills.
Strong written and verbal communication skills with attention to detail.
Strong time management and organizational skills with the ability to prioritize a high volume of work while managing multiple deadlines in a continually changing work environment.
Work independently with limited supervision.
Effectively identify, analyze and solve problems.
Use sound judgment and critical thinking skills when decision making.
Possess and maintain a valid driver's license; access to reliable transportation required.
Travel throughout the council as needed.
Pass and maintain required background clearances.
Sitting, standing or walking for a moderate period of time is required.
Lift/carry up to 25 pounds.
Data Analyst
Data Science Internship Job 16 miles from Manchester
Cayuse Federal Services (CFS) provides innovative and flexible solutions to federal government clients, emphasizing cost-effective excellence. CFS' capabilities, market-relevant service offerings, past performance credentials, and diverse status allow government clients to engage quickly and confidently with CFS. Core service areas for CFS include Environmental Services Investigation and Remediation, Munitions Response/Unexploded Ordnance (UXO), Operations Support Services Bases, Ranges, Airfields, and Logistics/Warehouse Management.
**Primary Focus**
The Data Analyst works with the client in developing and identifying areas within IRS where data obtained through IRS systems may be applied to support IRS compliance activities; help in discovering emerging trends in payment collections and taxpayer behaviors; develop systemic solutions; document analytical work and validate models for transfer to appropriate agency functions.
**Responsibilities**
+ Meet with Government clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans
+ Apply critical thinking and creative problem-solving skills to proactively identify and develop solutions for clients' business problems
+ Conduct exploratory data analysis using large-scale Government data sources. Develop briefings and reports to communicate key findings to colleagues and Government clients
+ Work with teams of data scientists to build pipelines for data engineering and machine learning
+ Work with teams of software developers to build tools for data visualization and analysis
+ Develop recommendations based on completed research and analysis and present these recommendations to government clients
+ Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with technical and non-technical backgrounds
+ Takes ownership of tasks and develops high-quality work products with minimal supervision
+ Other duties as assigned
**Qualifications**
Minimum Qualifications:
+ Bachelor's in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience
+ 2-5 years of professional experience
+ 2-5 years of in-depth understanding of data constructs, basic statistical concepts, and analytical methods
+ 2-5 years of experience formulating data-driven recommendations
+ Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment
+ This position requires candidates to obtain a Federal Public Trust Clearance. Being a US Citizen or a Lawful Permanent Resident is required when obtaining a Federal Public Trust Clearance.
**Minimum Skills:**
+ Comfortable working on projects and with teams with heavy technical focus, including data analytics, machine learning, and/or business intelligence technologies
+ Experience with at least one object-oriented programming language (e.g., Python, Java, JavaScript)
+ Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL)
+ Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required
+ Strong collaboration skills and ability to work well in a team environment
+ Excellent verbal and written communication skills
+ Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans
+ Strong client and team interaction skills
+ Critical thinker with excellent attention to detail
**Reports to:** Program Manager
**Working Conditions**
+ Professional remote office environment
+ Must be physically and mentally able to perform duties for extended periods of time. Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position
+ Must be able to establish a productive and professional workspace
+ Must be able to work varying work schedules and/or extended hours to meet business needs and project deadlines
+ May be asked to travel for business or professional development purposes
**Other Duties:** _Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice._
**Affirmative Action/EEO Statement:** _Cayuse embraces diversity and equal opportunity in a serious way. We celebrate diversity and are committed to creating and building a team that represents a variety of backgrounds, perspectives, and skills. Cayuse, and all of its subsidiaries, are proud to be an equal opportunity workplace and are an affirmative action employer_ _._
**Pay Range**
USD $90,000.00 - USD $99,000.00 /Yr.
Submit a Referral (*************************************************************************************************************************
**Location** _US-_
**ID** _102688_
**Category** _Information Technology_
**Position Type** _Full-Time Salary Exempt_
**Remote** _Yes_
**Clearance Required** _Public Trust_
Intern, Data Analyst/Scientist
Data Science Internship Job 16 miles from Manchester
At Verint, we believe customer engagement is the core of every global brand. Our mission is to help organizations elevate Customer Experience (CX) and increase workforce productivity by delivering CX Automation. We hire innovators with the passion, creativity, and drive to answer constantly shifting market challenges and deliver impactful results for our customers. Our commitment to attracting and retaining a talented, diverse, and engaged team creates a collaborative environment that openly celebrates all cultures and affords personal and professional growth opportunities. Learn more at ************** .
**Overview of Job Function:**
The position is primarily focused on various tasks related to data ingestion, processing, normalization, and cataloging in a cloud environment. The intern will be assisting the Da Vinci AI team with several projects regarding data analysis, annotation, and automating data pipelines. The intern will implement and evaluate data annotation and augmentation pipelines using tools from cloud providers for the purposes of machine learning and evaluation of Large Language Models. This intern will also compare methods to generate and evaluate synthetic datasets for various use cases.
**Principal Duties and Essential Responsibilities:**
+ Practice analyzing big data
+ Use available libraries for implementation of algorithms
+ Evaluate and refine algorithms using relevant data
+ Perform exploratory and targeted data analysis using descriptive statistics and other methods
+ Communicate the business value of technical solutions
+ Perform ad-hoc analysis and assist in developing reproducible analytical approaches to meet business requirements
+ Experiment with and evaluate the output of Large Language Models for various tasks
+ Utilization of the following technologies: Python, Jupyter, Spark, and AWS Sagemaker
+ Data Engineering / Data Ops tasks:
+ Cataloging research datasets from various groups - identifying use cases, tagging meta-data, etc.
+ Perform data normalization
+ Writing ETL scripts to convert to standardized form
+ Perform data exploration on various datasets
+ Build data pipelines and transform data sets to support the application of a variety of machine learning techniques
+ Participate in data storage architecture design discussions
**Minimum Requirements:**
+ Pursuing BS in Mathematics, Computer Science, Information Management or Statistics
+ Knowledge of machine learning algorithms
+ Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
+ Adept at documenting experiments, report writing and presenting findings
+ Knowledge of cloud-based data processing platforms such as AWS SageMaker, Google Vertex AI, Microsoft Azure ML, etc.
+ Knowledge of SQL, statistics, and experience using statistical packages for analyzing datasets (Excel, Statsmodels, R etc.)
+ Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations.
\#LI-BM1
MIN: $25/HR
MAX: $30/HR
Data Management and Conversion
Data Science Internship Job 16 miles from Manchester
Delivers insights on potential areas of optimization, improvement, and growth. Partners with cross-functional teams to create coordinate data architecture strategies. Responsible for knowledge sharing of Data Analytics best practices to the broader company. Collaborates with business units and management to identify Key Performance Indicators (KPIs) for data capture and reporting across the business.
+ Work with the SI and technical and functional leads to provide advice and support to the JPMO on the development of data management plans for data migration.
+ Assist the JPMO with the establishment of a Data Management IPT and facilitate subsequent Data Management IPT activities.
+ Work with the SI and provide advice and support to the JPMO on the development of the high-level strategy for Data Management and Conversion that provides a roadmap for performing the migration of data from legacy systems to the new modernized system.
+ Assist in the establishment of Data Security and Management Policy, Processes, and Procedures.
+ Ensure compliance with all Data Security mandates (DHS and JPMO).
+ Attend data conversion meetings, review products, ensure all data anomalies are addressed before migration to the new system and that reconciliation between systems, ledgers, etc. are completed.
+ Attend all data management and conversion meetings. Provide meeting minutes, notes, briefs, etc. as required for stakeholders and management meetings.
+ Support the JPMO Data Management lead in the oversight and review of all data management plans and artifacts.
+ Review plans developed by the SI and support the implementation of data management, data cleansing, data dictionaries, data migration, data conversion, data archiving, backup and recovery plans, and products.
+ Review Component legacy system data and ensure an accurate understanding of the data elements, structures, and quality is recorded.
+ Setup staging environments for data cleansing and conversion activities.
+ Assist Components in preparing for migration of legacy data into a new integrated financial, procurement, and asset management system such as executing mock data conversions and cutover activities.
+ Support Departmental and Component level Business Intelligence (BI) and Data Warehouse (DW) efforts in conjunction with third-party BI/DW offerings.
+ Work with the Requirements IPT lead to identify Component reporting requirements.
+ Work with the JPMO and the SI to facilitate the design and development of report and query designs.
+ Work with the SI and Functional Testing lead and provide advice to the JPMO on the development of test scripts for reports and ensure the data is reported as expected.
+ Work with the third-party provider to resolve and report defects and to test the report until all issues are resolved.
+ Perform data mining and analysis.
+ Attend, facilitate, and take minutes for meetings, as needed/requested.
+ Act as project manager as needed for working groups.
**Minimum Qualifications**
+ Bachelor's Degree in Engineering, or a related scientific or technical discipline, or equivalent relevant experience
+ 5-10 years of overall work experience, 2+ years experience in the areas of data analytics, developing dashboards and data models
**Other Job Specific Skills**
+ Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks.
+ Operates with appreciable latitude in developing methodology and presenting solutions to problems.
+ Contributes to deliverables and performance metrics where applicable.
+ Design strategies for enterprise database systems and set standards for operations, programming, and security.
+ Design and construct large relational databases.
+ Integrate new systems with existing warehouse structure and refine system performance and functionality.
+ Intermediate proficiency level with Atlassian/Confluence/Jira
+ Advanced proficiency level with Microsoft application skillset
**Compensation Ranges**
Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.
**EEO Requirements**
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.
Physical Requirements
The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.
**Disclaimer**
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
$69,700 - $83,000
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.
Data Analyst
Data Science Internship Job 16 miles from Manchester
Note: Need 7 + years Experienced candidate.
Job Description:
Responsibilities:
1.Data Solutions Development:
Collaborate closely with the OVR team to assess the current state of data management and reporting in CWDS.
Develop a comprehensive plan to address identified issues and enhance data management practices.
Propose solutions to streamline processes and improve accuracy.
2.Reporting and Analysis:
Create standard and ad hoc reports based on OVR's reporting needs.
Design report templates and generate reports as required.
Aggregate and analyze the data as per the requirements.
Investigate and address flaws in the current CWDS tracker system.
3.Deliverables:
Comprehensive plan for improving OVR's data management in CWDS
Standard Ad-Hoc reports as needed by OVR
A revised system and reports for tracking of Measurable Skills Gains, Credential Attainment, Pre-ETS(Pre-Employment Transition Services), and OVR performance data.
Aggregate and analyze the data as per the requirements.
A plan for integrating the Pre-ETS and Vocational Rehabilitation Systems.
The incumbent should have advanced data analytical skills, leadership abilities and lead responsibility for the following activities within the assigned project.
Design and create Ad-hoc reports in Business Object Enterprise (BOE) business intelligence reporting system from CWDS database based of the data need.
Engage as Liaison between business partner agency and information technology (IT) staff including Project Manager and internal/vendor development staff. Possess the ability to interact with various staff levels including senior executive managers.
Involved in planning and coordinate overall testing efforts to include test plan, creation, and execution of test scenarios for system integration testing (SIT) and User Acceptance Testing (UAT).
Orchestra coordination and execution of Training Plan including development of training materials, quick reference guides, and standard operating procedures manuals.
Ensure compliance with all applicable Commonwealth information technology policies and EBR-DC guidelines, security, and related standards.
Analyze legislation or other business documentation to determine any necessary IT system or business process changes that are required.
Ensures proper escalation to appropriate management of issues and potential project risks including compliance risks or limitations of available information technology services risks impacting development completion or impacts to schedules
Execute systematic problem-solving activities by ensuring that issues are reviewed and evaluated based on relevant criteria impacting decision and outcomes.
Ability to manage multiple projects and tasks at the same time while ensuring focus on completing quality activities and meeting timelines for each.
As business partner ‘Business Owner' define and classify problems, evaluating possible outcomes, and recommending proposed solutions.
Exhibit effective oral and written communication skills ensuring that proper levels of details are relayed depending on the audience as interaction with peers, managers, and executive management will be required.
Exhibit ability to work both independently and develop relationships with cross-functional team of resources.
Plan, coordinate and facilitate internal business partner session reviews of existing system functionality and potential new system enhancements and/or system requirements.
Data Analyst
Data Science Internship Job 16 miles from Manchester
Position: OVR - Data AnalystLocation: Dauphin County, PAClient: Commonwealth of PAAgency: OVRInterview Type: WebcamPosition ID: 748910 Position Description:The technical Data Analyst lead provides technical design expertise and will play a pivotal role in addressing identified issues within the Office of Vocational Rehabilitation's (OVR) data management system in the Commonwealth Workforce Development System (CWDS). This position involves developing solutions, creating an overall plan, and building necessary reports. The primary focus areas include improving data management practices, tracking and reporting on the data for Measurable Skills Gains (MSG), and Credential Attainment, Pre-ETS(Pre-Employment Transition Services), and other OVR performance parameters.
Responsibilities:1.Data Solutions Development:
Collaborate closely with the OVR team to assess the current state of data management and reporting in CWDS.
Develop a comprehensive plan to address identified issues and enhance data management practices.
Propose solutions to streamline processes and improve accuracy.
2.Reporting and Analysis:
Create standard and ad hoc reports based on OVR's reporting needs.
Design report templates and generate reports as required.
Aggregate and analyze the data as per the requirements.
Investigate and address flaws in the current CWDS tracker system.
3.Deliverables:
Comprehensive plan for improving OVR's data management in CWDS
Standard Ad-Hoc reports as needed by OVR
A revised system and reports for tracking of Measurable Skills Gains, Credential Attainment, Pre-ETS(Pre-Employment Transition Services), and OVR performance data.
Aggregate and analyze the data as per the requirements.
A plan for integrating the Pre-ETS and Vocational Rehabilitation Systems.
The incumbent should have advanced data analytical skills, leadership abilities and lead responsibility for the following activities within the assigned project.
• Design and create Ad-hoc reports in Business Object Enterprise (BOE) business intelligence reporting system from CWDS database based of the data need.• Engage as Liaison between business partner agency and information technology (IT) staff including Project Manager and internal/vendor development staff. Possess the ability to interact with various staff levels including senior executive managers.• Involved in planning and coordinate overall testing efforts to include test plan, creation, and execution of test scenarios for system integration testing (SIT) and User Acceptance Testing (UAT).• Orchestra coordination and execution of Training Plan including development of training materials, quick reference guides, and standard operating procedures manuals.• Ensure compliance with all applicable Commonwealth information technology policies and EBR-DC guidelines, security, and related standards.• Analyze legislation or other business documentation to determine any necessary IT system or business process changes that are required.• Ensures proper escalation to appropriate management of issues and potential project risks including compliance risks or limitations of available information technology services risks impacting development completion or impacts to schedules• Execute systematic problem-solving activities by ensuring that issues are reviewed and evaluated based on relevant criteria impacting decision and outcomes.• Ability to manage multiple projects and tasks at the same time while ensuring focus on completing quality activities and meeting timelines for each.• As business partner ‘Business Owner' define and classify problems, evaluating possible outcomes, and recommending proposed solutions.• Exhibit effective oral and written communication skills ensuring that proper levels of details are relayed depending on the audience as interaction with peers, managers, and executive management will be required.• Exhibit ability to work both independently and develop relationships with cross-functional team of resources.• Plan, coordinate and facilitate internal business partner session reviews of existing system functionality and potential new system enhancements and/or system requirements.• Interact and provide as needed updates/presentations/reports for OVR/WF Executive, Administrative and management staff.• Manage interpersonal and Team Building efforts for OVR business partner staff.Skill Matrix:SkillRequired / DesiredAmountBachelor's degree in Business Administration, Information Systems, or a related field.Experience in aggregating and analyzing data using Business Objects Enterprise (BOE) Crystal reports.Experience in in writing SQL and MDX queries for data analysis Experience with SSRS, SSIS and ETL tools Data Visualization tools such as Lumira and power BIExperience working with Python. Soap UIExperience with Compliance and digital accessibility controls Highly desired Experience with PM methodologies and/or managing & tracking a project against a project plan Highly desired Experience with assisting testing efforts to include reviewing test scenarios for UAT and organizing users to Facilitate effective tests Experience working to facilitate collaboration across the full range of executive, business, and technical resources
Data Scientist
Data Science Internship Job 16 miles from Manchester
At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time.
Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients:
+ Citeline - accelerate the drug development cycle
+ Evaluate - bring the right drugs to market
+ MMIT - identify barrier to patient access
+ Panalgo - turn data into insight faster
+ The Dedham Group - think strategically for specialty therapeutics
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.
**Job description**
Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making.
Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.
**Key duties and responsibilities**
In this role as a Data Scientist, you will:
+ Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products
+ Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams
+ Contributes towards the common data science platform
+ Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
**Key requirements**
+ 3+ years of experience developing AI / ML applications and data driven solutions
+ Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
+ Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques
+ Deep understanding of CS fundamentals, computational complexity and algorithm design
+ Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
+ Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries
+ Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems
+ Experience mentoring junior team members
+ Excellent problem solving and communication skills
+ Nice to have
+ M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences.
+ Knowledge of the healthcare domain and experience with applying AI to healthcare data
+ Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake
+ Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs
**Our Guiding Principles at Norstella**
01: Bold, Passionate, Mission-First
We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.
02: Integrity, Truth, Reality
We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
03: Kindness, Empathy, Grace
We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
04: Resilience, Mettle, Perseverance
We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.
05: Humility, Gratitude, Learning
We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.
**Benefits:**
Medical and prescription drug benefits
Health savings accounts or flexible spending accounts
Dental plans and vision benefits
Basic life and AD&D Benefits
401k retirement plan
Short- and Long-Term Disability
Education benefits
Paid parental leave
Paid time off
**_*Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.*_**
The expected base salary for this position ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] .
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
Full Stack Data Scientist
Data Science Internship Job 16 miles from Manchester
At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference.
We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers.
As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems.
This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications.
**Responsibilities**
+ Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions.
+ Strong understanding of React components, state management, and lifecycle methods.
+ Ability to build complex and performant user interfaces.
+ Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction.
+ Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments.
+ Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization.
+ Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring.
+ Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage.
+ Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders
+ Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects.
+ Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam.
**Qualifications**
+ Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred.
+ At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred
+ Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL.
+ Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components).
+ Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse
+ Knowledge of clinical domain and datasets.
+ Knowledge of REST, Apigee, Microservices preferred
+ Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques.
+ Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation
+ Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage.
+ Strong mathematical and statistical skills.
+ 2+ years in the Healthcare industry and knowledge of clinical data preferred.
+ Delivery experience with Google Cloud Platform preferred.
+ Agile development skills and experience preferred.
+ Experience designing and developing machine learning and deep learning solutions and systems.
+ Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments.
+ Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape.
+ Experience mining and analyzing large structured and unstructured datasets.
+ Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
+ Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production
+ Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment
+ Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam
+ Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks.
+ Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP)
+ Experience interacting with REST APIs and microservices
+ Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
**What is expected of you and others at this level**
+ Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
+ Recommends new practices, processes, metrics, or models
+ Works on complex projects of large scope projects may have significant and long-term impact
+ Provides solutions which may set precedent
+ Collaborate with stakeholders for completion of new projects
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
\#LI-Remote
\#LI-AP4
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Data Analyst Intern
Data Science Internship Job 16 miles from Manchester
The salary range displayed has not been adjusted for geographical location. This range has been created in good faith based on information known to Capital Blue Cross at the time of posting and may be modified in the future. At Capital Blue Cross, we promise to go the extra mile for our team and our community. This promise is at the heart of our culture, and it's why our employees consistently vote us one of the "Best Places to Work in PA."
Capital Blue Cross has an exciting opportunity for a student to work alongside our Analytics and Reporting team during the summer of 2025. Capital Blue Cross' internship program is looking for highly motivated, creative individuals with diverse backgrounds, superior academic credentials and significant personal achievements who are actively enrolled in an undergraduate or advanced degree program, to work in a challenging environment where contribution, teamwork and communication are vital to the success of the organization.
Responsibilities and Qualifications
* Paid internship positions are available and based out of our corporate office in Harrisburg.
* Interns will have the opportunity to participate in a variety of experiences through meaningful work assignments, observation opportunities, and social interactions.
* In the spirit of Capital Blue Cross, interns will be given the opportunity to complete a service project with one of our community partners.
* Interns will participate in ongoing company initiatives and be challenged to translate their classroom learning into fresh perspectives that positively impact our colleagues, members, and the communities we serve.
* Interns will have the opportunity to formally present the outcomes of their experience and share their unique perspective to our executive and extended leadership team.
* In an effort to provide students with feedback and continued investment in their growth, a variety of Capital team members will provide interns with periodic feedback and professional development programming.
* The internship program strives to provide interns with formal and informal opportunities for the interns to network with Capital Blue Cross staff and participate in company-wide learning events.
Position Requirements:
* Currently enrolled in an undergraduate or graduate level program in one of the following majors: Healthcare Administration, Business, or a related field of study.
* Preferred GPA of 3.2 or higher (based on a 4.0 scale or equivalent thereof)
* Ability to commit full-time to a 13-week program that runs May 19- August 15
* Strong written and oral communication skills
* Ability to work in a team environment and handle multiple tasks.
* Excellent analytical, problem solving and interpersonal skills.
* Ability to commit to an onsite or hybrid work schedule.
Location:
* This position is classified hybrid, which requires onsite work on Tuesdays and Wednesdays.
About Us
We recognize that work is a part of life, not separate from it, and foster a flexible environment where your health and wellbeing are prioritized. At Capital you will work alongside a diverse and caring team of supportive colleagues, and be encouraged to volunteer in your community. We value your professional and personal growth by investing heavily in training and continuing education, so you have the tools to do your best as you develop your career. And by doing your best, you'll help us live our mission of improving the health and well-being of our members and the communities in which they live.
Data Scientist
Data Science Internship Job 16 miles from Manchester
Greetings from Fabergent, Kindly let me know if you are currently available in the job market Feel free to reach me on ************ or tissa ATfabergent.com Please respond with your updated profile if interested Job Title : Data Scientist
Duration: 6 months
Job Description:
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company's data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
Additional Information
All your information will be kept confidential according to EEO guidelines.
Data Scientist (Technical Leadership)
Data Science Internship Job 16 miles from Manchester
Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
4. Understand and identify opportunities to more responsibly leverage cutting edge technology.
5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity.
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development.
10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance.
11. Experience framing and communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
12. Masters or Ph.D. Degree in a quantitative field.
13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods.
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Voice Analyst (LVT)
Data Science Internship Job 16 miles from Manchester
Responsible for seamless order intake, validation, and processing to enable successful provisioning and billing orders to complete customer orders as a unit of work. This role requires a high level of attention to detail, the ability to work under tight deadlines, and seek assistance when required to ensure a high level of quality of orders being entered. Handles the most complex order intakes or customers.
+ Process new and transition orders for Federal agencies, ensuring accuracy and compliance with all federal regulations
+ Utilize intake methods such as email, Ebond (Conexus, ETEMs), and Business Center to manage order requests.
+ Collaborate with cross-functional teams to ensure seamless order processing from intake to billing, including review of order provisioning and billing setup in the system.
+ Maintain up-to-date knowledge of EIS products, process flows, and service level agreements (SLAs).
+ Support operational dashboards for order visibility and forecasting to improve predictability and control.
+ Ensure all network hardware, core network configurations, and software requirements are accurately captured and assigned.
+ Collaborate with Service Management to maintain client health index and manage customer relationships from delivery to billing.
+ Responds to requests from internal and external customers to expedite orders, correct errors, or investigate problems with transportation providers.
+ Researches and resolves order errors and updates the system and suggests system or process improvements related to errors.
+ May assist in training or mentoring junior Order Intake Specialists.
Minimum Qualifications
+ Associate's degree in a related field or equivalent work experience
+ 5-8 years of related experience in a network services environment with a focus on order intake and management and/or experience with data entry. Experience within federal government context a plus.
Other Job Specific Skills
+ Strong analytical and problem-solving abilities.
+ Proficient in the use of innovative tools and analytics for process optimization.
+ Excellent interpersonal and customer service skills.
+ Strong organizational skills and the ability to manage a high volume of orders.
+ Strong written and verbal communication skills.
+ Proficient in using various intake methods and comfortable working with technology.
+ Ability to work effectively in a team environment.
+ Ability to work on MS Excel for any business calculation.
+ Keen attention to detail and accuracy.
+ Ability to work well under pressure.
**Compensation Ranges**
Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.
**EEO Requirements**
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.
Physical Requirements
The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.
**Disclaimer**
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
$46k - $66k
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.
Data Scientist
Data Science Internship Job 16 miles from Manchester
Greetings from Fabergent, Kindly let me know if you are currently available in the job market Feel free to reach me on ************ or tissa ATfabergent.com Please respond with your updated profile if interested Job Title : Data Scientist
Duration: 6 months
Job Description:
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company's data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
Additional Information
All your information will be kept confidential according to EEO guidelines.
CRM Analyst Intern
Data Science Internship Job 26 miles from Manchester
Carlisle Construction Materials LLC (CCM) is a diversified manufacturer and supplier of premium building products and related technologies for the commercial and residential construction markets. CCM offers high-performance, single-ply roofing solutions that include EPDM, TPO, PVC, metal, and roof garden systems.
We are seeking a CRM Intern to join our CRM team in the summer of 2025. This internship experience will provide the candidate with hands-on experience in managing and ensuring the quality, security, and usability of CRM Salesforce Data and Quality Assurance Testing or Salesforce programs within our organization. You will work closely with our CRM and Business Unit Team members to implement data governance frameworks, policies, and procedures. This role offers an excellent opportunity to learn about data management practices and QA testing methodologies and contribute to our CCM Salesforce Sales and Marketing Vision.
Duties and Responsibilities:
* Collaborate with data owners to define data standards, data quality metrics, and data lifecycle management practices.
* Monitor and report on data quality and governance metrics.
* Perform functional, integration, regression, and performance testing on data management systems.
* Identify, document, and track defects, and work with development teams to resolve issues.
* Validate data accuracy, integrity, and consistency across different systems and applications.
* Work closely with CRM team, data management, and business teams to understand data requirements and ensure alignment with data governance policies.
* Conduct QA Testing of various Programs and Processes in Salesforce and provide detailed feedback to the CRM Technical Team for evaluation and resolution
* Participate in team meetings and brainstorming sessions.
Data Scientist, Product Analytics
Data Science Internship Job 16 miles from Manchester
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
7. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
8. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$145,000/year to $204,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Voice Analyst
Data Science Internship Job 16 miles from Manchester
Responsible for seamless order intake, validation, and processing to enable successful provisioning and billing orders to complete customer orders as a unit of work. This role requires a high level of attention to detail, the ability to work under tight deadlines, and seek assistance when required to ensure a high level of quality of orders being entered.
+ Process new and transition orders for Federal agencies, ensuring accuracy and compliance with all federal regulations
+ Utilize intake methods such as email, Ebond (Conexus, ETEMs), and Business Center to manage order requests.
+ Collaborate with cross-functional teams to ensure seamless order processing from intake to billing, including review of order provisioning and billing setup in the system.
+ Maintain up-to-date knowledge of EIS products, process flows, and service level agreements (SLAs).
+ Support operational dashboards for order visibility and forecasting to improve predictability and control.
+ Ensure all network hardware, core network configurations, and software requirements are accurately captured and assigned.
+ Support Services shall be executed in compliance with processing and program guidelines published by Customer.
Minimum Qualifications
+ High School Diploma or GED
+ 0-2 years of related experience in a network services environment with a focus on order intake and management and/or experience with data entry. Experience within federal government context a plus.
Other Job Specific Skills
+ Strong analytical and problem-solving abilities.
+ Proficient in quality data entry.
+ Proficient in using various intake methods and comfortable working with technology.
+ Strong organizational skills and the ability to manage a high volume of orders.
+ Strong written and verbal communication skills.
+ Strong listening ability to interpret and clarify information being provided.
+ Ability to work effectively in a team environment.
+ Ability to work on MS Excel for any business calculation.
+ Keen attention to detail and accuracy.
+ Ability to work well under pressure.
**Compensation Ranges**
Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.
**EEO Requirements**
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.
Physical Requirements
The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.
**Disclaimer**
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
$16.54 - $23.00/hr
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.
Innovation Analyst Intern
Data Science Internship Job 26 miles from Manchester
In this role, you will play a pivotal part in supporting the Innovation team by evaluating opportunities within the building construction industry that align with CCM's innovation strategy. Your analytical skills, creativity, and research abilities will be essential in this project.
Duties and Responsibilities:
* Research and Analysis: Conduct in-depth market research, industry benchmarking, and competitive analysis to identify trends, emerging technologies, and potential innovation opportunities.
* Feasibility Assessment: Evaluate the feasibility, viability, and potential impact of innovation projects, including cost-benefit analyses and risk assessments.
* Data Insights: Analyze data and metrics to derive insights and identify trends & opportunities
* Continuous Learning: Stay current with industry trends and emerging technologies by attending relevant conferences, webinars, and seminars.
Qualification:
Skills
* Strong Analytical and Problem-Solving Skills: Proficiency in analyzing data, deriving insights, and solving complex problems.
* Excellent Communication and Interpersonal Abilities: Strong verbal and written communication skills, as well as the ability to collaborate effectively within cross-functional teams.
* Proficiency in Microsoft Suite: Strong proficiency in Microsoft Office applications, including Word, Excel, PowerPoint, and Outlook.
* Passion for Innovation: Demonstrated enthusiasm and passion for innovation and its potential impact.