Data Scientist
Data engineer job in Albany, NY
** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole.
We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands.
We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.
Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.
**Job Description**
ESSENTIAL DUTIES AND RESPONSIBILITIES
+ **Business Partnership & Consulting**
+ Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions.
+ Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience.
+ Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities.
+ Experience advising, presenting to, and serving as a thought partner to senior executives.
+ **Analytics & Insights**
+ Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance).
+ Translate complex data into clear, actionable insights with strong storytelling and visualization.
+ Deliver executive-ready materials that connect people data to business outcomes.
+ Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights.
+ **Advanced People Analytics**
+ Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities.
+ Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities.
+ Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights.
+ **Strategy & Enablement**
+ Guide stakeholders in building a data-driven culture within HR and across the business.
+ Drive adoption of self-service analytics platforms and democratize access to people insights.
**Qualifications**
REQUIRED
+ **Education & Experience**
+ Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field.
+ 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields.
SKILLS
+ **Technical Skills**
+ Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier).
+ Advanced Excel, SQL, or Python/R for data analysis preferred.
+ Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures.
+ **Business & Consulting Skills**
+ Exceptional ability to translate data into business insights and recommendations.
+ Strong stakeholder management, influencing, and storytelling skills.
+ Experience in partnering with senior leaders to drive data-informed decisions
**Additional Information**
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** .
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
\#LI- VV1
**Compensation & Benefits Details**
+ An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
+ The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
+ If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
+ You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards.
+ We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan.
+ **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
**Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .
Data Scientist
Data engineer job in Albany, NY
GovCIO is currently hiring for a Data Scientist to provides technical leadership in the data science domain. This position will be located in Rome, NY and will be an onsite position.
Responsibilities
Develops deployable AI/ML analytics for C5ISRT data and provides technical leadership in the data science domain. Transforms raw sensor and operational data into analyst-ready insights. Develops and deploys algorithms, use cases, and models. Supports data analytics research, development, prototyping, maturation, testing, and integration, including generating large-scale labeled datasets and developing Labeled Data Campaign Plans. Applies MLOps ecosystem tools, including NVIDIA Triton Inference servers, TensorFlow, PyTorch, ONNX, and Python. Integrates models across domains with bi-weekly evaluations and dataset challenges. Operationalizes data curation, tagging, and ‘Labeling on the Line' workflows and integrates into Government-owned labeling apps and repositories. Contributes to CDRL-backed artifacts such as Detailed Analyses (A021/B021, C021).
Skills: data engineering, feature development, MLOps packaging, experiment tracking, evaluation design, metric selection, and bias/error analysis with defensible reporting.
Knowledge: MLOps at IL5/SIPR/JWICS, dataset curation at scale, evaluation pipelines for bi-weekly model submissions, MLOps ecosystem (e.g., Triton Inference Server, TensorFlow, PyTorch, ONNX, Python) for model execution, data security classifications, data lake management and data replication to/from edge systems, and algorithm rights/licensing limits in operations.
Qualifications
Bachelor's with 15+ years (or commensurate experience)
Required Skills and Experience
Clearance Required:TS/SCI
Masters Degree
Working knowledge of Python Programming for ML, Cloud Computing Fundamentals, Data Curation Best Practices, Deep Learning Frameworks (TensorFlow/PyTorch), GPU Acceleration, Secure Coding Practices, C5ISRT Domain Expertise, Ethical AI/Bias Analysis
DoDD 8140 IAT Level II: (CompTIA Security+, or GSEC or ISC2 SSCP)
***PENDING CONTRACT AWARD***
#afrl
Preferred Skills and Experience
AWS/Azure Certified Data Engineer or ML Specialty, Certified Analytics Professional (CAP)
Company Overview
GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.
But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer?
What You Can Expect
Interview & Hiring Process
If you are selected to move forward through the process, here's what you can expect:
During the Interview Process
Virtual video interview conducted via video with the hiring manager and/or team
Camera must be on
A valid photo ID must be presented during each interview
During the Hiring Process
Enhanced Biometrics ID verification screening
Background check, to include:
Criminal history (past 7 years)
Verification of your highest level of education
Verification of your employment history (past 7 years), based on information provided in your application
Employee Perks
At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including:
Employee Assistance Program (EAP)
Corporate Discounts
Learning & Development platform, to include certification preparation content
Training, Education and Certification Assistance*
Referral Bonus Program
Internal Mobility Program
Pet Insurance
Flexible Work Environment
*Available to full-time employees
Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets.
Posted Pay Range
The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors.
Posted Salary Range USD $200,000.00 - USD $230,000.00 /Yr.
Auto-ApplyData Scientist, Product Analytics
Data engineer job in Albany, NY
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 wide-range 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 varied 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 Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$173,000/year to $242,000/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 Scientist, NLP
Data engineer job in Albany, NY
Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.
By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.
You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.
This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:
+ Design and develop models to extract entities, detect intents, and understand document structure
+ Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
+ Evaluate model performance where ground truth is partial, uncertain, or evolving
+ Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.
**Qualifications**
+ 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
+ Proficiency with Python
+ Experience with the latest in language models (transformers, LLMs, etc.)
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
+ Industry experience shepherding ML/AI projects from ideation to delivery
+ Demonstrated ability to influence company KPIs with AI
+ Demonstrated ability to navigate ambiguity
**Bonus Experience**
+ Experience with document layout analysis (using vision, NLP, or both).
+ Experience with Spark/PySpark
+ Experience with Databricks
+ Experience in the healthcare industry
**Responsibilities**
+ Play a key role in the success of our products by developing models for document understanding tasks.
+ Perform error analysis, data cleaning, and other related tasks to improve models.
+ Collaborate with your team by making recommendations for the development roadmap of a capability.
+ Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
+ Understand product use-cases and define key performance metrics for models according to business requirements.
+ Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
**After 3 Months, You Will...**
+ Have a strong grasp of technologies upon which our platform is built.
+ Be fully integrated into ongoing model development efforts with your team.
**After 1 Year, You Will...**
+ Be independent in reading literature and doing research to develop models for new and existing products.
+ Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.
+ Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.
\#LI-BC1
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
The estimated total cash compensation range for this role is:
$136,000-$170,000 USD
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .
Data Scientist_april
Data engineer job in Schenectady, NY
Job Description
About Company:
Who We Are
At ADP, what we do is about people. Although we have a strong history of providing solutions for human resource challenges, we strive to do more than that. We challenge ourselves to anticipate, think forward and take action in a way that empowers us to shape the changing world of work.
For over 70 years, we've led the way in defining the future of business solutions. ADP is proud to be named the 2023 Fortune World's Most Admired Companies™ list again for 17 consecutive years*.
We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration, and a leader in business outsourcing services, analytics and compliance expertise. Our unmatched experience, deep insights and cutting-edge technology have transformed human resources from a back-office administrative function to a strategic business advantage.
Learn more about our philosophy, success factors and why companies work with ADP.
About the Role:
As a Data Scientist at our Information and Media Services company in New York, you will be responsible for analyzing complex data sets and developing predictive models to drive business decisions. You will work closely with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance. Your work will directly impact the success of our company and our clients, as you will be responsible for delivering actionable insights that drive growth and profitability.
Minimum Qualifications:
Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
3+ years of experience in data science or a related field
Strong programming skills in R and Python
Experience with machine learning techniques such as random forest, neural networks, and logistic regression
Experience with statistical analysis and experimental design
Preferred Qualifications:
Master's or PhD in Computer Science, Statistics, Mathematics, or a related field
Experience with big data technologies such as Apache Spark
Experience with deep learning frameworks such as TensorFlow
Experience with clustering techniques
Experience with data visualization tools
Responsibilities:
Analyze large and complex data sets using statistical and machine learning techniques to develop predictive models
Collaborate with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance
Design and implement experiments to test hypotheses and validate models
Communicate findings and recommendations to stakeholders in a clear and concise manner
Stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities
Skills:
As a Data Scientist, you will use your strong programming skills in R and Python to analyze large and complex data sets using statistical and machine learning techniques such as random forest, neural networks, and logistic regression. You will also have experience with statistical analysis and experimental design. In addition, you will have experience with big data technologies such as Apache Spark and deep learning frameworks such as TensorFlow. You will use your strong communication skills to clearly and concisely communicate findings and recommendations to stakeholders. Finally, you will stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities.
Data Scientist, Netherlands - BCG X
Data engineer job in Amsterdam, NY
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
We Are BCG X
We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
What You'll Do
Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.
#BCGXjob
What You'll Bring
We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following:
* 2+ years of relevant work experience
* Comfortable in a client-facing role with the ambition to lead teams
* Likes to distill complex results or processes into simple, clear visualizations
* Explain sophisticated data science concepts in an understandable manner
* Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
* Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
* Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
* Have strong project management skills & ability to work collaboratively in diverse teams
* Excellent verbal and written communication skills in English and local office language
* Master's degree or PhD in relevant field of study
TECHNOLOGIES:
Programming Languages: Python
#BCGXjob
Additional info
Professional Development
We are committed to your growth. You will have ample opportunities to participate in training programs, workshops, and development initiatives. You will also benefit from coaching and mentoring to further enhance your skills and expertise. At BCG, you can explore new horizons and expand your potential.
Join the Group
Are you ready to take the next step in your career? Apply now and become part of a community of forward-thinkers. Here, challenges and collaboration go hand in hand, your ideas are valued, and your potential knows no bounds. Let's work together to develop innovative solutions and create a lasting impact on businesses and society.
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
BCG is an E - Verify Employer. Click here for more information on E-Verify.
Staff Data Scientist, Personalization & Shopping
Data engineer job in Day, NY
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Shopping is a strategic initiative that aims to help Pinners take action by surfacing the most relevant content, at the right time, in the best user-friendly way. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems.
We are looking for a Staff Data Scientist with experience in machine learning and causal inference to help advance Shopping at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner. You will work in a highly collaborative and cross-functional environment, and be responsible for partnering with Product Managers and Machine Learning Engineers. You are expected to develop a deep understanding of our recommendation system, and generate insights and robust methodologies to answer the “why”. The results of your work will influence our development teams, and drive product innovation.
What you'll do:
Ensure that our recommendation systems produce trustworthy, high-quality outputs to maximize our Pinner's shopping experience.
Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations.
Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process.
Mentor and up-level junior data scientists on the team.
What we're looking for:
7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
Strong interest and experience in recommendation systems and causal inference.
Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark).
Ability to work independently and drive your own projects.
Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners.
A team player eager to partner with cross-functional partners to quickly turn insights into actions.
Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$164,695-$339,078 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Auto-ApplyLead Data Engineer, Revenue Engine
Data engineer job in Day, NY
Why Charlie Health?
Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.
Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home.
As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you.
About the Role
The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems.
We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.
Responsibilities
Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake.
Own and guide the development of our data infrastructure.
Orchestrate complex data workflows using Dagster.
Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work.
Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods.
Ensure our data is always available by participating in our on-call rotation.
Requirements
Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience
7+ years experience in engineering, with at least 5 years of experience in a data engineering role
Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries
High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations
Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus
Experience with data exploration, profiling, governance, visualization, and activation
Proven ability to thrive in an ambiguous and rapidly changing environment
Experience working with sensitive data in a regulated environment
Expertise in healthcare and/or revenue cycle management is a plus
You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week.
Benefits
Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.
The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID
Our Values
Connection: Care deeply & inspire hope.
Congruence: Stay curious & heed the evidence.
Commitment: Act with urgency & don't give up.
Please do not call our public clinical admissions line in regard to this or any other job posting.
Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: ******************************************************* Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent *********************** email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.
Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.
By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service.
By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
Auto-ApplyLead Data Engineer, Revenue Engine
Data engineer job in Day, NY
Why Charlie Health?
Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.
Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home.
As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you.
About the Role
The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems.
We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.
Responsibilities
Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake.
Own and guide the development of our data infrastructure.
Orchestrate complex data workflows using Dagster.
Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work.
Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods.
Ensure our data is always available by participating in our on-call rotation.
Requirements
Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience
7+ years experience in engineering, with at least 5 years of experience in a data engineering role
Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries
High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations
Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus
Experience with data exploration, profiling, governance, visualization, and activation
Proven ability to thrive in an ambiguous and rapidly changing environment
Experience working with sensitive data in a regulated environment
Expertise in healthcare and/or revenue cycle management is a plus
You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week.
Benefits
Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.
The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID
Our Values
Connection: Care deeply & inspire hope.
Congruence: Stay curious & heed the evidence.
Commitment: Act with urgency & don't give up.
Please do not call our public clinical admissions line in regard to this or any other job posting.
Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: ******************************************************* Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent *********************** email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.
Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.
By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service.
By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
Auto-ApplyDistinguished Engineer - Data Architecture
Data engineer job in Albany, NY
Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.
Company Name: Capital One
Job Description
Locations: VA - McLean, United States of America, McLean, Virginia
Distinguished Engineer - Data Architecture
Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners.
Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent
Basic Qualifications:
Bachelor's Degree
At least 7 years of Data Architecture or Enterprise Architecture experience
At least 5 years of experience in design patterns
At least 5 years of AWS cloud experience
At least 3 years of experience building data products
At least 3 years of experience with enterprise level data governance
Preferred Qualifications:
Masters' Degree
8+ years of data governance, data access, data lineage, data monitoring, and security controls experience
7+ years of experience developing in Python, Java, Scala or Node
6+ years of experience dealing with large number of cross AWS account communications
5+ years of experience in software architecture
3+ years of rich experience in modern database technology evaluation and data modeling
3+ years of experience in building highly resilient distributed data systems
3+ years in data engineering including experience in distributed data pipelines and test data engineering
3+ years of experience in Agile practices
1+ year of experience with developing strategy and implementing target architectures
AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the
Capital One Careers website
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at
[email protected]
. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to
[email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Data Engineer
Data engineer job in Day, NY
Massar Capital Management, LP (“Massar”) is an alternative investment management company founded in 2015. We employ a global macro trading strategy that seeks to capture investment opportunities across commodity, foreign exchange, fixed income, equity, and derivatives markets. With offices in the United States and Europe, Massar prides itself on its dynamic, entrepreneurial culture. Our investment philosophy combines fundamental understanding of individual assets with a quantitative, data-driven process. We build proprietary technology and develop statistical methods to leverage both public and in-house data sets. Our team members possess strong technical skills, a passion for problem-solving, and an intellectual curiosity about financial markets.
ABOUT THE TEAM
The data team delivers infrastructure and models to deploy valuable data across the business. Working closely with our researchers and traders, we build resilient and easily maintainable data models and pipelines. Additionally, our developers support live trading by maintaining pipeline operations and enhance our data platform by developing new frameworks, libraries, and services, thereby enhancing team efficiency, throughput, and code quality.
RESPONSIBILITIES
Gain a comprehensive understanding of investment research teams' data needs and provide the right solution to them
Develop, test, and optimize Python data applications, frameworks, and services
Collaborate with technologists and researchers to align data applications and platforms with evolving business needs
Write and review technical documentation, including requirements for researchers and proposals for platform enhancements, as well as production support guidelines
Frequently take the lead on production support operations
REQUIREMENTS
Bachelor's in a technology related field (e.g. Engineering, Computer Science, etc.)
Strong skills programming in Python (inc. Numpy & Pandas) as well as significant experience with SQL, as a software developer, quantitative developer or data engineer
Exposure to Relational database engineering or NoSQL database
Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes
Strong design, debugging and problem-solving skills
Strong analytic and strategic thinking skills
Strong communication skills
NICE TO HAVE
Experience at either a hedge fund or for a trading group on the buy-side
Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes
COMPENSATION
Competitive compensation commensurate with level of experience.
Comprehensive benefits package including medical, dental, vision, 401(k), insurance, Summer Fridays, and wellness reimbursement.
Base Salary: $150,000 - $200,000/ yr plus bonus
Auto-ApplyData Engineer - Regulatory Reporting
Data engineer job in Day, NY
Clear Street's mission is to give every sophisticated investor access to every asset, in every market, through a unified platform built for speed, transparency and scale. We give our clients the technology, tools, and service once reserved for the largest institutions, rebuilt with modern infrastructure. Our single, cloud-native, end-to-end capital markets platform powers investor growth today and is transforming how they can interact with markets tomorrow.
For more information, visit ***********************
The Team:
The Control Engineering team at Clear Street is a small team with a great deal of responsibility. We work closely with stakeholders to ensure that we meet all our financial and regulatory obligations in a timely fashion. Our goal is to make the lives of our stakeholders easier by leveraging innovative technology to create automated solutions for their workflows. As Clear Street grows into more product lines and geographical regions, every member of the team will have an opportunity to have an immense impact on the firm as a whole. Join our team and be part of a dynamic environment where you can make a significant contribution, collaborate with talented professionals, and work with cutting-edge technology to drive operational excellence.
The Role:
As an experienced Software Engineer on the Controls Engineering team, you will play an integral role in automating our Compliance & Finance regulatory processes. You'll build on your analytical skills to create solutions that process large amounts of data from our data warehouse to generate clean, correct reporting, including building out reconciliations.
You will partner with key stakeholders across the Compliance, Finance, and Treasury teams to understand regulatory/financial obligations and business requirements, and translate them into clean designs and scalable solutions. As the tech lead in the team, you will provide technical guidance, prioritizing work, perform hands-on design and development and code review, as well as evolve our technical standards and best practices.
Tech Stack: Python, SQL, Snowflake, Retool, Docker, Kubernetes, Argo, Metaplane, REST APIs
Required Qualifications:
You have at least five (5) years of software design and development experience including CI/CD, source code control, testing, and quality management.
You are highly proficient in Python, SQL, database design, and have experience working with data warehouses like Snowflake to generate complex solutions at scale.
You are a self-starter with a sense of urgency and an eagerness to learn and explore new technologies as appropriate to solve business problems.
You are a strong communicator who can interact in a clear and concise manner with non-technical business stakeholders, product managers as well engineers.
You have the ability to troubleshoot and logically assess problems and determine solutions.
Bonus Qualifications:
You have experience working in the post-trade automation space designing and architecting systems that deliver solutions to complex data problems.
You have experience generating complex financial industry regulatory reports like EMIR, MFID, SFTR, CPR, K Factor etc.
We Offer:
The opportunity to join a growing team of good people, where you can make a difference.
A meritocratic philosophy that champions collaboration.
A new, high-quality code base with little technical debt and room to build new services and features.
An environment that embraces the utility of a DevOps oriented culture and combines it with a focus on CI/CD methodology.
Competitive compensation, benefits, and perks.
The Base Salary Range for this role is $140,000 - $190,000. This range is representative of the starting base salaries for this role at Clear Street. Where a candidate falls in this range will be based on job related factors such as relevant experience, skills, and location. This range represents Base Salary only, which is just one element of Clear Street's total compensation. The range stated does not include other factors of total compensation such as bonuses or equity.
At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. Our belief has always been that we are better as a business when we are all together in person. As such, beginning on January 2, 2023, we are requiring employees to be in the office 4 days per week. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.
Our top priority is our people. We're continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse - in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer. #LI-Hybrid
Auto-ApplyData Engineer
Data engineer job in Day, NY
Coast is re-imagining the trillion-dollar U.S. B2B card payments infrastructure, with a focus on the country's 500,000 commercial fleets, 40 million commercial vehicles, and many million commercial drivers. The incumbent technologies that cater to these customers are decades old, and drivers, fleets, and the merchants that serve them all increasingly demand modern digital experiences and affordable and transparent financial services products. Coast's mission is to deliver them at a transformational scale, and to improve working lives in one of the country's biggest industry sectors. The company is backed by top fintech and mobility venture funds.
In order to maximize our engineering velocity, we are hiring in NYC and the tri-state area only. Our office is located in the heart of Manhattan's SoHo neighborhood, benefiting from its vibrant creative energy. We come to the office on average four days a week.
At Coast, the success of our data platform is driving accelerating demand from all corners of the company. We're looking for a key builder to help us meet this moment. In this role, you will drive the delivery of high-impact analytics and AI use cases while contributing to the evolution of our modern, cloud-native data platform. This is a chance to join a small, high-leverage team and make a definitive impact, building the systems that help us understand risk, acquire customers, and create a better financial product. You will be building on a solid foundation that lets you focus on high-impact work from day one. Our data engineering organization follows the federated model of data product ownership-the data platform serves as the foundation, not the first line of defense against data issues.
This role is a launchpad for the next step in your career. You'll partner directly with business leaders and have outsized ownership, helping to steer the company's direction. This role reports to the Lead Data Engineer that heads up our Data organization.
What You'll Do (Responsibilities)
Own the delivery of data: you will design and deliver data for a variety of use cases from all areas of the business (marketing & sales, growth, risk, compliance, product, etc.) with robustness and high degree of automation.
Orchestration: you'll design, build, and maintain robust, scalable, and testable data assets using Dagster.
Build Data Products & Pipelines: you'll implement and deploy new ELT pipelines and data transformations using our modern SQL-based stack (dbt, Redshift, Python) to support critical business use cases.
Apply Software Engineering Principles: you'll champion and apply software engineering best practices-including robust testing, CI/CD, modularity, and observability-to every part of our data platform.
Collaborate and Document: you'll work closely with product engineers and business stakeholders to understand their needs. You'll also contribute to our technical direction by writing clear design documents and Architecture Decision Records (ADRs) for new patterns and tools.
Improve the Platform: you'll continuously look for, notice, and implement improvements to our data infrastructure, helping us build a well-managed and cost-effective platform.
What You Bring (Qualifications)
Professional experience: 4+ years working with SQL, Python, data pipelines, and BI tools.
Strong Python & software engineering mindset: you are a proficient Python developer who leads with principles of source control, infrastructure as code, testing, and automation. This is more important to us than deep expertise in any single data tool.
Robust, production-grade data pipeline designer: you understand the importance of testing and validation, you have tools in your toolbelt to deal with data from a variety of sources (APIs, GraphQL, Salesforce), optimize transformations and produce consumer-ready datasets.
Orchestration experience: you have hands-on experience with a modern data orchestrator. Direct experience with Dagster is a huge plus, but experience with tools like Airflow, Prefect, or other code-first orchestration tools is also highly valuable.
Pragmatic problem-solving: you can figure things out. You're comfortable researching a problem, designing a solution, implementing a technical spike, and then delivering it through responsible change management. You have the bias for action.
Solid data fundamentals: you have a solid grasp of SQL and data modeling principles. You don't need to be a world-class SQL optimizer, but you understand how to build clean, reliable datasets.
An owner's mindset: you are proactive and take ownership of your work from end to end. You treat the platform as your product.
Compensation
Our salary ranges are based on paying competitively for our size and industry, and are one part of our total compensation package that also includes benefits, signing bonus, and equity. Pay decisions are based on a number of factors, including scope and qualifications for the role, experience level, skillset, and balancing internal equity relative to other Coast employees. We expect the majority of the candidates who are offered roles at Coast to fall healthily within the range based on these factors.
Salary range: $130,000 - $160,000 annually
Signing bonus
Equity grant: commensurate with level determined at the discretion of the company, with meaningful potential upside given the company's early stage
Benefits overview:
Medical, dental and vision insurance
Unlimited paid time off (vacation, personal well being, paid holidays)
Paid parental leave
$400 accessories allowance (a keyboard, mouse, headphones, etc.)
Free lunch every Friday
Education stipend
401(k)
About Coast
Coast is re-imagining the trillion-dollar U.S. B2B card payments infrastructure, with a focus on the country's 500,000 commercial fleets, 10 million commercial vehicles, and 4 million commercial drivers.
Coast is founded and led by Daniel Simon, who previously cofounded Bread (breadpayments.com), a leading payments and credit technology firm backed by some of the world's top VCs which was acquired for $500MM+ in 2020.
Coast has raised $165M in total funding - our recent $40M Series B equity round was led by ICONIQ Growth with participation from Thomvest, and Synchrony. We're also backed by top fintech and mobility venture funds - including Accel, Insight Partners, Better Tomorrow Ventures, Avid Ventures, Bessemer Venture Partners, BoxGroup, Foundation Capital, Greycroft, Colle - and premier angel investors - including Max Levchin (Affirm), Josh Abramowitz (Bread), Jason Gardner (Marqeta), William Hockey (Plaid), Ryan Petersen (Flexport), and many others.
Check out our CEO's recent podcast interview with Primary Venture Partners and last year's product/market deep dive on Fintech Layer Cake with Coast Founder Daniel Simon!
Coast is committed to diversity, equity, and inclusion. We are building a diverse and inclusive environment, so we encourage people of all backgrounds to apply. We're an Equal Opportunity Employer and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.
Auto-ApplyData Engineer
Data engineer job in Day, NY
Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.
The opportunity Data is core to Radical AI's mission and as a Data Engineer, you'll collaborate with cross-functional teams (software, ML, materials science) to build robust data solutions.
You will be directly involved in designing, building and maintaining infrastructure to support agentic workflows for our AI materials design engine, as well as maturing our existing data infrastructure that relates to our autonomous lab. In this you'll create a best-in-class system to accelerate Radical AI's ability to develop the next evolution of scientific progress and get to work at the intersection of cutting edge models, autonomous experimentation, and materials science.
As a foundational member of the team, you'll have the opportunity to shape the standards, culture, and values of the data engineering team.Mission
Work side by side with AI researchers and engineers, shaping the next generation of autonomous systems for materials discovery.
Own the end-to-end planning, execution, and delivery of largescale data initiatives.
Drive a continuous improvement culture through retrospectives, process streamlining, and lean execution experiments.
Help define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making within scientific discovery.
Design and implement data pipelines connecting our autonomous lab with operational and product systems, including our AI-driven discovery engine.
Build and support scalable, audit-proof architecture.
Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains.
Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.
About you
B.S. or M.S. in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience.
6+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets.
Strong background in computer science: algorithms, data structures, system design and data modeling.
Strong Python and/or Go skills and and experience deploying production-grade code (not just notebooks).
Experience with relational SQL/NoSQL databases and data lakehouse/warehouse frameworks (e.g., BigQuery, Snowflake, Redshift, Databricks).
Experience with data pipeline frameworks (e.g., Beam, Spark, Kafka, Pulsar, etc.), modern data orchestration frameworks (e.g., Dagster, Prefect), and cloud-native storage (e.g., S3, ADLS).
Experience with large scale distributed system design, operation and optimization.
Experience with lightweight, embedded analytical databases (e.g., Duckdb, SQLite).
Proficient at scaling up and managing high-volume document ingestion pipelines.
An experimental mindset: comfortable testing hypotheses, learning from failures, and iterating quickly; doesn't shy away from problems with no right answer.
Proven ability to scope ambiguous problems, develop end-to-end solutions, and communicate outcomes effectively.
Pluses
Experience with vector databases (e.g. Pinecone, pgvector, Qdrant, TurboPuffer, etc.).
Knowledge of or experience with aagentic processes and/or frameworks (e.g., LangChain, CrewAI, PydanticAI, AutoGen, etc.).
Demonstrated experience with LLMOps (e.g., Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, etc.)
Experience with full-stack prototyping.
Salary Description
Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.
Disclosure
Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
Auto-ApplySr. Data Engineer
Data engineer job in Day, NY
Sr. Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges.
CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists.
Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories.
Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems.
For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.
Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays
Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Join our team and become part of government innovation!
Explore additional job opportunities with CGS on our Job Board:*************************************
For more information about CGS please visit: ************************** or contact:Email: *******************#CJ
Auto-ApplyData Scientist
Data engineer job in Day, NY
WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS
Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen.
Ad Age
touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on
The A-List
as one of the top agencies in the world, and
Ad Age's
Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like:
Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year,
and
Digiday's Most Innovative Media Agency
to name a few.
We couldn't create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely.
BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU
About the role:
Known's Marketing Science team embeds data scientists directly within our media buying and activation operations. You will be at the forefront of creating innovative analytical approaches to analyze and improve media buying strategies and outcomes for our diverse clientele. A key responsibility will be to design, develop, and deploy data-driven applications and tools that empower our media activation teams, streamlining their workflows and enhancing their effectiveness. Furthermore, you will contribute your expertise to our media consulting practice, providing data-backed insights and strategic solutions to external clients.
We are seeking a Data Scientist who can understand the core business objectives of our internal teams and our clients, and ideate, design, and develop innovative solutions using advanced statistical modeling, machine learning, optimization, and potentially Generative AI techniques. While direct experience in media is a strong plus, a passion for applying cutting-edge data science to solve complex marketing and media challenges is crucial. This role offers a unique opportunity to blend deep analytical skills with practical marketing acumen to drive significant impact.
In this role more generally, you will work with, and guide (for senior levels), other data scientists on a variety of projects, interface with our other teams at Known, and drive forward some of our most difficult and innovative data science projects, using advanced methods to revolutionize media buying and activation.
WHAT YOU'LL DO
Analyze complex media buying data to identify trends, insights, and opportunities for performance improvement and optimization.
Develop, implement, and refine innovative analytical models, algorithms, and frameworks to enhance media buying strategies, targeting, and ROI.
Design, build, test, and deploy robust data-driven applications and tools to automate processes, improve efficiency, and support decision-making for the media activation team.
Collaborate closely with media buyers, strategists, engineers, and account teams to understand their challenges and translate business needs into effective data science solutions.
Contribute to media consulting engagements by delivering data analysis, predictive modeling, strategic recommendations, and client-facing presentations.
Develop and apply a range of techniques to improve Known IP and create valuable tools for Known's internal teams and clients.
Work with other data scientists and engineers to productionalize new tools and analytical solutions, ensuring scalability and reliability.
Stay current with advancements in Data Science, AI, media analytics, and ad technology, identifying opportunities for their application in the marketing domain.
WHO YOU ARE AND WHAT YOU HAVE
A Bachelors, Masters or PhD in a STEM field, or equivalent practical experience.
Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning.
Proven ability to translate complex data into actionable business insights, particularly within a marketing or media context.
Strong understanding of marketing principles and media buying/activation processes. Direct experience in media analytics, ad-tech, or a similar marketing-focused data science role is highly desirable.
Experience utilizing Python and SQL for data manipulation, analysis, and model building.
Experience building data science software, analytical workflows, or data-driven applications.
2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience in data science or analytics.
1+ years of experience building data science software or applications, ideally including those leveraging AI/ML models.
Academic projects, internships, or personal projects demonstrating application of modeling techniques to solve real-world problems are preferred.
Skills, abilities, and knowledge:
Superb communication and presentation skills, with an ability to convey complex technical concepts to non-technical audiences (including media teams and clients).
An ability to translate business challenges from the media buying, activation, and consulting domains into quantitative problems, and solve them effectively using appropriate data science methodologies and tools.
A strong blend of data science expertise and marketing/media acumen
Proven ownership of projects taken from ideation to completion and impact.
A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work.
Experience working collaboratively on a tech team, with familiarity in cloud technologies (e.g., AWS, GCP, Azure), version control (e.g., Git), etc.
Competencies:
Ability to prioritize time, work and effort while multitasking on multiple projects.
Desire to mentor and teach others.
Collaborative attitude.
Self motivated and exhibits initiative.
Willing & able to learn quickly.
Abundant intellectual curiosity and integrity.
SOME OF OUR PERKS
Unlimited paid time off
401k with company matching and no vesting period
Annual bonuses
Generous medical plan
Paid parental leave
ONE LAST THING TO ASK YOURSELF
All this might sound great, but you're probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values.
Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class.
The base salary for this position is $110K-$130K.
This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.
#LI-RR1
Auto-ApplySenior Data Engineer
Data engineer job in Day, NY
About OUTFRONT
We are one of North America's most innovative media companies. We leverage the power of creative excellence, unbeatable locations and smart audience data to change the game for advertisers. Our purpose as a company is to help people, places and businesses grow stronger. To do this, we make meaningful connections between brands and people when they are outside of their homes through one of the largest and most diverse sets of out-of-home assets including billboards, transit and mobile displays across the U.S. We connect diverse audiences across over 150 markets and conduct our business considering all our stakeholders, from clients and employees, to the communities where we operate. We are committed to creating a diverse and inclusive work environment that promotes the growth of our people. Come join our industry-leading team!
What We Offer
OUTFRONT offers a comprehensive benefits program including:
Medical, Dental, Vision (including same and opposite-sex domestic partners)
HSA and FSA plans, Family Benefits, Pet Benefits
401(k) Plan with an Employer Match
Paid Time Off, Commuter Benefits, Educational Assistance
Robust Diversity, Equity and Inclusion program including 7 Employee Resource Groups (ERGs)
Job Summary
At OUTFRONT Media, a leader in Digital Out of Home (DOOH) advertising, we're blending cutting-edge technology with our nationwide network of digital billboards and transit displays to create innovative solutions that push the boundaries of what's possible. We're looking for a passionate and experienced Senior Data Engineer to join our growing Data & Analytics team. If you're excited about building high-performance data pipelines, solving complex problems, and collaborating with both internal and external teams, we want to hear from you!
As a Senior Data Engineer, you'll leverage your expertise in cloud technologies, data architecture, and modern data warehouses to design and implement scalable, high-impact solutions that drive real business results. You'll partner with leadership to influence strategic decisions, ensuring our data systems evolve alongside the business to meet future needs. In this role, you'll be the go-to expert for all things cloud and data, playing a key part in shaping innovative, customer-focused solutions.
If you're a multi-tasker with strong attention to detail, and you're ready to make a significant impact in a fast-paced, collaborative environment, let's work together to build the future of advertising technology!
What You'll Do
Build and maintain high-performance data pipelines that enable deeper analysis, reporting, and insights across the business.
Design and implement large-scale, data structures that support analytics and data science needs, optimizing for speed, scalability, and reliability.
Create seamless data ingestion processes (both real-time and batch) using modern ETL/ELT practices, leveraging cloud technologies and big data tools to ensure smooth data flow.
Collaborate with business teams to understand needs, and translate them into flexible, scalable data solutions that grow with the company.
Work alongside engineers to establish best practices for data system creation, ensuring data quality, integrity, and proper documentation throughout.
Continuously improve reporting and analysis by automating processes, streamlining workflows and empowering teams with self-service data tools for easy access to insights.
Partner with senior leadership to stay aligned on business objectives, provide regular updates, and make data-driven decisions to drive progress.
Be the subject matter expert in your area, understanding the ad tech landscape and identifying ways to leverage OUTFRONT's unique position in the market.
Take the initiative to identify, troubleshoot, and resolve challenges that could hinder progress on strategic goals, ensuring the team remains on track to meet both technical and business objectives.
Experience
7+ years of experience designing and implementing data warehouse solutions, focusing on scalability and performance.
7+ years of experience writing complex SQL queries and developing robust ETL/ELT pipelines to transform and integrate data.
7+ years of programming experience in languages like Python, focusing on building scalable and efficient solutions.
Extensive experience in building and optimizing APIs, containerization, and orchestration with Kubernetes to ensure scalable, high-performance data systems.
Hands-on experience with Cloud data warehouses (ideally with Snowflake, Google BigQuery, or AWS Redshift).
Proficient in cloud technologies such as GCP or AWS.
Experience leading and collaborating with agile teams, utilizing tools like Jira and Confluence, to drive user-centered and iterative development processes.
Technical Expertise
Expertise in creating reports and dashboards using tools like Tableau, Looker, or Power BI to enable insightful decision-making.
Deep knowledge of identity management, data privacy, audience targeting, cross-device graphs, and related technologies.
Solid understanding of digital advertising technology, including ad serving, analytics, DSP, DMP, SSP, QA, and targeting.
Soft Skills
Strong cross-functional collaboration skills, with experience working in complex organizations and aligning teams on data product decisions and trade-offs.
Exceptional communication skills, capable of breaking down complex technical concepts and clearly communicating them to stakeholders.
Passionate about working with large datasets, skilled at spotting trends and deriving actionable insights to drive business decisions.
A quick learner, adept at grasping both business and technical needs to deliver impactful solutions.
Education
Bachelor of Engineering in Computer Science or equivalent preferred.
The salary range for this role is $165,000-$185,000 per year. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.
To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location.
OUTFRONT Media is not responsible for any fees related to unsolicited resumes.
OUTFRONT Media Is An Equal Opportunity Employer
All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the OUTFRONT Media Affirmative Action policy statement.
Auto-ApplyData Engineer II - Python/Spark/AWS
Data engineer job in Day, NY
JobID: 210687838 JobSchedule: Full time JobShift: Day Base Pay/Salary: NY $95,000.00-$130,000.00 You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II - Python/Spark/AWS at JPMorgan Chase within the Corporate Sector AI/ML Data Platform's Fusion Data Onboarding and Enablement team, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
* Design and build scalable, high-performance, and reliable data pipelines.
* Gather, analyze, model, and transform datasets to extract valuable insights from a large and diverse pool of both structured and unstructured data.
* Organizes, updates, and maintains gathered data that will aid in making the data actionable
* Provide technical expertise in designing and implementing solutions related to data delivery.
* Ensure adherence to data governance principles, implement data quality checks, and maintain data lineage throughout the data lifecycle.
* Collaborate with cross-functional teams to gather business requirements and translate them into effective database designs and data flows.
* Prepare accurate documentation on database design, data flow architecture, and pipeline orchestration.
* Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
* Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request
Required qualifications, capabilities, and skills
* Formal training or certification on software engineering concepts and 2+ years applied experience
* Basic knowledge of the data lifecycle and data management functions
* Proficiency in SQL, ETL, data modeling, and Python.
* Hands-on experience with building data pipelines using Python and PySpark.
* Strong database skills with a thorough understanding of databases and data modelling concepts.
* Advanced at SQL (e.g., joins and aggregations)
* Working understanding of NoSQL databases
* Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis
* Basic knowledge of data system components to determine controls needed
Preferred qualifications, capabilities, and skills
* Knowledge of Apache Iceberg.
* Knowledge of AWS and relevant services like S3, Glue.
* Knowledge of pipeline orchestrators like Airflow, Argo.
* Knowledge of version control systems like GitHub.
* Knowledge of metadata management, data lineage, and data glossaries.
Auto-ApplyData Scientist
Data engineer job in Day, NY
At Fun.xyz, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless.
Enter Checkout - the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. For dApps, Checkout scales their user acquisition potential without launching new chains or integrating multiple third party providers.
We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you.
Role Overview
We're looking for a Data Scientist to supercharge our data-driven strategy and ensure we're building the right things at the right time. You'll be embedded in the heart of our product and engineering teams, shaping insights that guide strategy, uncover user behavior, and optimize execution across Fun.xyz.
This role is perfect for someone who thrives in fast-paced, ownership-driven environments, loves solving open-ended problems, and is excited about the potential of blockchain data.Responsibilities
Design and build scalable data models to analyze transaction flows and user behavior
Support the optimization of data transformations, pipelines, and workflows
Work directly with the CFO to provide insights on the business' performance
Maintain data quality, observability, and reproducibility across analytical systems
Partner with engineers and product teams to deliver actionable, production-grade insights
Run experiments, apply causal inference, and drive evidence-based product decisions
Translate complex data into clear stories for both technical and non-technical stakeholders
Requirements
Proficiency in Python and SQL (5+ years)
Strong background in statistical analysis, experimentation, and causal inference
Familiar with analyzing end-user behavior for optimization (A/B testing, conversion rates, etc.)
Skilled in modern data platforms (Redshift, Snowflake, Databricks, etc.) and orchestration/transformation tools (dbt or similar)
Deep curiosity about crypto, DeFi, on-chain data, and Web3 infrastructure
Nice To Have
Experience analyzing large-scale transaction or financial datasets
Hands-on experience with ML/AI libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
Familiarity with market dynamics (spreads, slippage, liquidity, etc.)
A track record of thriving in ownership-heavy, fast-moving environments
A problem-solving approach that blends rigor, creativity, and first-principles thinking
Auto-ApplyCustomer Data Engineer
Data engineer job in Day, NY
Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~500 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed.
As a Customer Data Engineer, you will be a part of a strong energetic and fast-growing global team. You will be an integral part of clients' ongoing data requests and projects. You will be working closely with internal CSM teams as well as interacting directly with clients' data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease.
The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech.
Responsibilities:
Develop and support a wide range of data transformations and migrations
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures
Investigate data mismatches and apply solutions
Work side by side and support the Customer Success teams in order to meet customer business needs.
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution.
Requirements:
Bachelor's degree in Information Systems, Data Engineering, Mathematics, Statistics, Computer Science, Industrial Engineering, or a related field
Experience with databases and SQL - a Must
Outstanding technical and analytical skills
Highly motivated with an exceptional work ethic
High attention to detail with an ability to work on multiple projects simultaneously
Strong interpersonal and communication skills
Quick, self-learning capabilities and creativity in problem-solving
Preferred:
Familiarity with Python
Familiarity with Airflow, ETL tools, Snowflake and MSSQL
Hands-on with VCS (Git)
Proficient in written and spoken Spanish
This role follows a hybrid work schedule, with employees expected to be in our NYC office 3x week.
For applicants in the NYC area, the base salary range for this role is $60,000-$75,000. The salary offered will be based on experience, role, and location.
Auto-Apply