<h3>Job Description</h3><div>Job Description<div>Job DetailsSenior Data ScientistLocation: Malvern, PA / Hybrid Pay: $50 - $60 Overview:Full Stack Data Scientist to develop, deploy, and manage machine learning (ML) and Generative AI (GenAI) models across a range of applications, with a focus on integrating AWS solutions. This role involves designing and optimizing predictive models, creating GenAI-driven applications leveraging large language models (LLMs) and embedding models, and crafting effective prompts and RAG technologies to enhance solution capabilities.The Candidate:The ideal candidate will build user-facing applications with frameworks such as Streamlit (React optional), integrate robust APIs, and design end-to-end ML pipelines and data pipelines to ensure scalability and performance. Additionally, experience with graph databases is essential to support data structure and relationship insights. They should have expertise in cloud infrastructure with AWS, including containerization with Docker and Kubernetes for scalable deployment, and a solid understanding of MLOps practices with CI/CD automation. Strong mathematical and statistical skills, experience with data visualization, and a collaborative approach to working with cross-functional teams are crucial. Familiarity with modern ML, GenAI trends, and hands-on experience in developing cloud-based ML solutions is essential.Qualifications:<ul><li>Cloud Platform: AWS (Amazon Web Services)</li><li>Frontend Frameworks: Streamlit, (React - optional)</li><li>Data Streaming: Apache Kafka</li><li>Databases: Graph Databases, Vector Databases, Amazon RDS</li><li>Machine Learning Libraries: Scikit-Learn, TensorFlow, PyTorch, NumPy, Pandas</li><li>Generative AI Tools: LLMs, LangChain, LlamaIndex, Hugging Face</li><li>Data Pipelines and Workflow Management: Apache Airflow</li><li>Containerization and Orchestration: Docker, Kubernetes</li><li>API Development: Flask, FastAPI, RESTful APIs</li><li>Version Control and CI/CD: Git CI/CD</li><li>Data Processing Frameworks: Sagemaker Batch and Dremio Model Governance: Model monitoring and governance tools such as AWS SageMaker Model Monitor or other MLOps governance solutions</li><li>Programming Languages: Python, JavaScript</li></ul></div></div>

Job Description At LevelUp, we believe no job is too big or small for any of us to handle if it helps our clients. We value passionate, committed people who enjoy collaborating with others to find new solutions to complex business challenges. We are looking for the type of person who speaks their mind, truly listens and steps outside their role to add value wherever they can. Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. Above all, we seek someone who takes great pride in their work and is inspired and motivated by their role in protecting and enhancing our client’s financial well-being. If you are looking for an entrepreneurial environment where you can learn and thrive, LevelUp is the right place for you. LevelUp's Innovation Lab is looking for a Data Scientist to join our team! As a Data Scientist you will play a critical part in BBH Digital transformation by conducting research, designing, prototyping, and validating machine learning models to assure achievement of desired business outcomes. You will also be responsible for creating a production-ready code to put your models in the production environment. Please note this role will report into our Philadelphia office and will operate on a hybrid model weekly (3x in-office, 2x remote). Key responsibilities:<ul><li>Work closely with stakeholders to understand their needs and business correlation of analyzed data.</li><li>Build data structures by gathering, identifying relationships and transforming big datasets.</li><li>Developing AI models for Financial Services, including production-ready code</li><li>Monitor the efficiency of developed machine learning models and re-train when there is a need.</li></ul> Desired Qualifications:<ul><li>Strong knowledge of machine learning techniques and statistical concepts</li><li>Hands-on experience with Python and ML libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, SciPy, NLTK)</li><li>Understanding of databases and SQL for data retrieval</li><li>At least 4 years of experience as Data Scientist</li><li>Degree in Computer Science, Mathematics or related field</li><li>Basic skills related to software development in Python (familiarity with basic OOP principles, unit testing)</li></ul> Nice to Have:<ul><li>Experience building automated pipelines for model training</li><li>Experience with Microsoft Azure</li></ul> What We Offer<ul><li>A collaborative environment that enables you to step outside your role to add value wherever you can</li><li>Direct access to clients, information and experts across all business areas around the world</li><li>Opportunities to grow your expertise, take on new challenges, and reinvent yourself—without leaving the firm</li><li>A culture of inclusion that values each employee’s unique perspective</li><li>High-quality benefits program emphasizing good health, financial security, and peace of mind</li><li>Rewarding work with the flexibility to enjoy personal and family experiences at every career stage</li><li>Volunteer opportunities to give back to your community and help transform the lives of others</li></ul>

Major Duties<ul><li>Serves as a Senior Data Scientist leading teams for the most complex projects. May also serve as a team participant or an independent analyst on professional data science teams.</li><li>Applies the rigors of the data science discipline to data analysis in Cyber, Information Technology and economic analyses of complex and potentially controversial major information technology systems and networks.</li><li>Responsible for advanced level data science analytics characterized as highly unstructured and complex, having little definition or clarity, and especially complex analytic projects assigned to the organization.</li><li>Provides business metrics and support for the most complex projects to identify improvements (contribution to the improvement should be monitored initially and over multiple iterations).</li><li>Coordinates with the data steward to ensure that the information used follows the regulatory and security policies in place.</li><li>Qualify where information can be stored or what information, external to the organization, may be used in support of the use case.</li><li>Lead analytical projects, providing direction and guidance to project members of a professional nature in the execution and implementation of projects.</li></ul>Qualifications/ Specialized ExperienceWho May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Current Army Cyber Excepted Service (CES) Employee Current Army Defense Civilian Intelligence Personnel System (DCIPS) Employee Current Civilian Employees of the Organization Applying to Cyber Excepted Service (CES) Positions Current Department of Army Civilian Employees Current DoD Cyber Excepted Service (CES) Employee (non-Army) Current DoD Defense Civilian Intelligence Personnel System (DCIPS) Employee (non-Army) Current Permanent DoD Civilian Employee (non-Army) Applying to Cyber Excepted Service Positions Non-Department of Defense (DoD) Transfer Applying to Cyber Excepted Service Positions Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Data Scientist: A. Degree: Bachelor's degree (or higher degree) in in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GG-11 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) assisting with analyzing data in cyber, information technology, or other areas to ensure plans meet programming requirements; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) working on a team providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-12 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-13 Qualifying Experience: To qualify based on your experience, your resume must describe two years of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) leading teams in analyzing data in cyber, information technology to ensure plans meet programming; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research; (5) ensuring information used is in compliance with regulations and security policies.

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies. If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy The Data Scientist specializing in Customer Data Platform (CDP) plays a pivotal role in leveraging data science techniques to extract insights from customer data within the CDP. Responsible for developing advanced analytics solutions to enhance customer segmentation, personalization, and overall customer experience. Collaborates closely with cross-functional teams to drive data-driven decision-making and optimize customer engagement strategies. This role reports to the Director of Marketing Analytics and Reporting and with significant visibility at the AVEVA leadership team. The job holder will work closely with the stakeholders across marketing, including product marketing, demand center, regional marketing, and sales operations. This team member will have the ability to clearly communicate performance, insight, and recommendations to key stakeholders. In the role, the candidate would be a strong team player with exceptional marketing performance reporting understanding. This position will work side-by-side with the Director of Marketing Analytics and Reporting as well as the Americas, APAC and EMEA marketing operations team. It is also critical that this role build a strong working relationship with Sales Operations. Responsibilities <ul><li>Utilize data science methodologies to analyze and extract insights from customer data within the CDP.</li><li>Develop predictive models, propensity scores, and customer lifetime value models to optimize customer segmentation and targeting.</li><li>Implement machine learning algorithms to drive personalized customer experiences and increase customer engagement.</li><li>Collaborate with data engineers and data architects to ensure seamless integration of data sources into the CDP.</li><li>Work closely with marketing, sales, and product teams to understand business objectives and translate them into data science solutions.</li><li>Create visualizations and dashboards to communicate insights and recommendations to stakeholders.</li><li>Continuously monitor and evaluate model performance, making improvements as necessary to ensure accuracy and relevance.</li><li>Stay updated on industry trends and best practices in data science and customer analytics.</li><li>Collaborate with cross-functional teams including data engineering, marketing, sales, and product development.</li><li>Liaise with IT and business stakeholders to ensure alignment of data science initiatives with business objectives.</li></ul> Skills and Qualifications <ul><li>Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, or related field.</li><li>3-5+ years of experience in data science, with a focus on customer analytics and Journey mapping.</li><li>Proficiency in programming languages such as Python or R for data analysis and machine learning.</li><li>Experience with customer data platforms (CDPs) specifically experience with Tealium</li><li>Strong understanding of machine learning algorithms and statistical modeling techniques.</li><li>Excellent communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Proven track record of delivering data science solutions that drive business impact.</li><li>Ability to work effectively in a collaborative, cross-functional environment.</li></ul> Salary Range: $97,100.00 - $161,900.00 This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. USA Benefits: Competitive salary; high quality healthcare; 401(k) with 6% employer match; FSA and supplemental insurance; paid parental leave; 20 days PTO with increase for time served; 7 days of sick time; 3 days paid volunteering; flexible lifestyle benefits (commuter plans, backup care, emergency leave and fitness/education reimbursement opportunities) AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify AVEVA at recruitingaccommodations@aveva.com. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.

Data ScientistPearlX Infrastructure LLC | Location: Hybrid Philadelphia, PA | Full-time About PearlXFounded in 2019, PearlX builds, owns, operates flexible infrastructure. For our energy customers, PearlX’s portfolio enables resilience and independence. For our infrastructure investors, PearlX eases capital formation and enables the energy transition. The Company’s mission is to generate long-life current yield for its partners and shareholders. We believe that mission is achieved by selling the most flexible electron with the highest energy margins. At PearlX, we believe climate change is a leading threat to economic and social stability. The Company also believes that the mitigation of climate change represents a unique and generational wealth creation event. To harvest the opportunity, PearlX pursues 4 key objectives:<ul><li>Build infrastructure that enables the energy transition</li><li>Ease capital formation for decarbonization</li><li>Enable energy resilienc and independence</li><li>Accelerate retirement of hydrocarbon generation and emissions</li></ul> PearlX is led by a world-class team of industry-leading veterans in the energy infrastructure and technology business. Our track record is among the finest in the sector and the Company is looking to bring on talented team members who are hardworking, passionate, and committed our mission. PearlX Technology StackBattery software for Virtual Power Plants (VPPs) has become mainstream. Now that these software vendors have demonstrated that batteries installed in people’s homes and at commercial and industrial complexes can replace natural gas power plants, the next phase of software will enable investors and utilities to become completely comfortable relying on them.Investors and utilities need software to provide real time monitoring and fault tolerance capabilities for VPPs. Hardware and software that power workplaces, homes, schools, and hospitals needs to be rock solid.This software is complex and thus must encompass the following:Orchestrate a large number of components: Virtual Bidders, Portfolio Optimizers, Energy Management Systems, Market Forecasting, and Real Estate Management SystemsBack-test the output from those components to ensure optimal performancePerform A/B testing to validate assumptionsModel connectivity and transmission issues in a geographically distributed multi-nodal networkServerless based architecture for cost optimization & enable horizontal scalabilityWe believe that this software will unlock investor interest in the short term, and a developer ecosystem in the long term.Building the monitoring and fault tolerance layer lets us work with our component vendors to normalize their APIs, building an OS for Virtual Power Plants. That allows interoperability, extensions, and new innovations without our involvement. Imagine a virtual power plant that is aware of a critical data center job, saving enough energy to provide adequate compute. PearlX's mission is to develope a truly scalable distributed application intelligent middleware platform.The technology team consists of members that bring together technology a vast experience in the smart grid, predictive analytics, and machine learning; utilizing MLOps and DevOps principles to drive business insights to help innovate in a traditional engineering industry. Duties & ResponsibilitiesDevelop forecast models for distributed energy resources (including solar PV, energy efficiency, demand response, EVs, storage, etc.) including energy market forecastsDevelop strategies for dispatching DER assets to capture market revenues Integrate with APIs of data providers and market schedulers to coordinate and bid assets into the marketEffectively communicate technical concepts to internal stakeholders (including business development, engineering, and technology) regarding forecast methodology and analysis and ensure our deliverables meet their needsStay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use, electricity markets and technologies and programs impacting that use, such as energy efficiency and demand responseSupport development of new data workflows and pipelines for managing energy dataSupport the deployment of machine learning models incorporating MLOps best-practices QualificationsMinimum of Bachelor’s degree in statistics, mathematics, engineering, or related quantitatively rigorous field Experience with forecasting distributed energy resources (e.g., PV, EV, energy efficiency, demand response, load etc.)Knowledge of econometric or statistical forecasting and linear programming Knowledge of wholesale electricity marketsKnowledge of electric grid operations, electricity markets and Investor-Owned Utility preferredExpertise in statistical programming software such as Python or R and experience working with cloud platforms such as AWS, experience with AWS SageMaker preferredExperience in SQLAdvanced Excel skills a plus. BonusPrevious exposure to the financial and securities domainPrevious startup experience would be a huge plusExperience working in full-stack teamsBenefitsCompetitive salary in a fast-paced, start-up companyFun, fast-paced, start-up environmentU.S. Citizens, Green Card holders, and those authorized to work in the U.S. for any employer will be considered.

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. (This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position.) BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly MUST HAVE: Experience within the performance marketing/lead gen industries. Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems. EXPERIENCE: A minimum of 4 years experience in a hands-on, in-the-weeds data science position. YOUR ROLE You will be developing deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners. This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company's products. This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects. SUCCESS LOOKS LIKE <ul><li>Innovate, create, and design ML solutions to various business problems such as:</li><ul><li>Design, implement and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB-tests.</li><li>Utilizing Large Language Models in content personalization across various verticals.</li><li>Recommendation systems to serve ads, offers, questions, etc.</li></ul><li>Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring.</li><li>Provide data science support at different project stages, including the implementation of ML solutions by collaborating with Data Engineers and MLOps.</li><li>Being hands-on and in-the-weeds in the data, coding part of the solution implementation.</li></ul> WHAT YOU NEED TO SUCCEED <ul><li>4+ years of related work experience in the field of Data Science & Machine learning.</li><li>2+ years of experience in the Marketing/Advertising Industry.</li><li>Solid background in Machine Learning and Statistics.</li><li>Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems.</li><li>Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc.).</li><li>Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals.</li><li>Experience creating ML solutions within cloud services (AWS/GCP).</li><li>Experience with ML model development lifecycle.</li><li>Experience with data visualization (preferably Looker).</li><li>Experience managing a team of data scientists and machine learning researchers (including career development).</li><li>Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders.</li></ul> NICE TO HAVES <ul><li>Experience with LLMs and Deep learning models to develop business and data science solutions.</li></ul> Total Rewards & Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to make your impact in a profitable, high-growth company? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

At BBH we value diverse backgrounds, so if your experience looks a little different from what we've outlined and you think you can bring value to the role, we will still welcome your application! What You Can Expect At BBH: If you join BBH you will find a collaborative environment that enables you to step outside your role to add value wherever you can. You will have direct access to clients, information and experts across all business areas around the world. BBH will provide you with opportunities to grow your expertise, take on new challenges, and reinvent yourself-without leaving the firm. We encourage a culture of inclusion that values each employee's unique perspective. We provide a high-quality benefits program emphasizing good health, financial security, and peace of mind. Ultimately we want you to have rewarding work with the flexibility to enjoy personal and family experiences at every career stage. Our BBH Cares program offers volunteer opportunities to give back to your community and help transform the lives of others. At Brown Brothers Harriman, we believe no job is too big or small for any of us to handle if it helps our clients. We value passionate, committed people who enjoy collaborating with others to find new solutions to complex business challenges. We are looking for the type of person who speaks their mind, truly listens and steps outside their role to add value wherever they can. Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. Above all, we seek someone who takes great pride in their work and is inspired and motivated by their role in protecting and enhancing our client's financial well-being. If you are looking for an entrepreneurial environment where you can learn and thrive, Brown Brothers Harriman is the right place for you. Join us as an Artificial Intelligence Data Scientist! As an Artificial Intelligence (AI) Data Scientist, you will play a critical part in BBH Digital transformation by conducting research, designing, prototyping, & validating machine learning models to assure achievement of desired business outcomes. As part of our AI Platform Team, your primary focus will be developing and implementing Machine Learning & statistical models that transform & elevate our business while shaping and driving our AI strategies. Some of your key responsibilities include: •Collaborate with internal teams to understand business challenges & identify opportunities for AI-driven solutions. •Design, develop, evaluate, tune & deploy Machine Learning algorithms that turn data into actionable insights. •Continuously research and stay abreast of the latest advancements in Machine Learning & AI to apply cutting edge techniques in our solutions. •Proactively work with large datasets, ensuring integrity & effectiveness of data used in Machine Learning Models. Work closely with stakeholders to understand their needs & business correlation of analyzed data. •Lead initiatives to enhance our data analytics capabilities with a focus on predictive & prescriptive analytics through Machine Learning. •Develop & maintain AI models. Desired Qualifications: •Strong knowledge of machine learning techniques & statistical concepts •Hands-on experience with ML libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, SciPy). •Working Python knowledge and experience with Microsoft Azure cloud. •Understanding of databases & SQL for data retrieval. •Familiarity with natural language processing (NLP) concepts •Proven track record of developing & deploying models that have driven business impact. •Experience with planning, construction & testing of ETL pipelines for data processing. •At least 4 years as experience in a Machine Learning or Data Scientist role. •Degree in Computer Science, Mathematics, or related field •Experience building automated pipelines for model training. •Experience with building Python microservices What we offer: •2 additional days added to your holiday calendar for Culture Celebration & Community Service •Private medical care for you and your family •Life Insurance •Hybrid Working Opportunities •Professional trainings and qualification support •Thrive Wellbeing Program •Online benefit platform •Contracts for an indefinite period with no probation period We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.

Data Scientist Jobs in Philadelphia, PA

Senior Data Scientist
November 15, 2024

Data Scientist
November 7, 2024

Data Scientist
October 30, 2024

Public Notice For Direct Hire Stem Data Scientist
October 29, 2024

Data Scientist Marketing Analytics And Reporting
October 29, 2024

Data Scientist
October 26, 2024

Senior Data Scientist
October 25, 2024

Physical Scientistdata Scientist
October 24, 2024

Ai Data Scientist
October 24, 2024

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Data Scientist Jobs in Philadelphia, PA

Senior Data ScientistNovember 15, 2024

Data ScientistNovember 7, 2024

Data ScientistOctober 30, 2024

Public Notice For Direct Hire Stem Data ScientistOctober 29, 2024

Data Scientist Marketing Analytics And ReportingOctober 29, 2024

Data ScientistOctober 26, 2024

Senior Data ScientistOctober 25, 2024

Physical Scientistdata ScientistOctober 24, 2024

Ai Data ScientistOctober 24, 2024