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Senior Vice President, Senior Data Engineer
Oaktree Capital Management, L.P.Los Angeles, California
Our Company Oaktree is a leader among global investment managers specializing in alternative investments, with $203 billion in assets under management as of March 31, 2025. The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, equity, and real estate. The firm has more than 1,200 employees and offices in 23 cities worldwide. We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture. For additional information please visit our website at www.oaktreecapital.com Responsibilities As a Senior Data Engineer within Oaktree's Information Solutions team, you will design, build, and maintain scalable and efficient data pipelines using Azure technologies, ensuring data quality, integrity, and availability for various business needs. You will play a crucial role in integrating data from diverse sources, transforming it into meaningful insights, and enabling data-driven decision-making across the organization. Responsibilities include: Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services. Develop code using ETL and ELT processes to transform data from Bronze to Silver, and Gold layer of maturity of data Ensure DevOps for code development and deployment. Perform Unit testing, system testing, QA testing and integrated engineering. Automated testing. Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Synopse, Microsoft Fabric. Developing data models and maintaining data architecture to support data analytics and business intelligence reporting. Ensuring data quality and consistency through data cleaning, transformation, and integration processes. Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services. Technical Responsibilities: Develop and maintain robust data pipelines using Azure Data Factory, orchestrating the flow of data from various sources, including Bloomberg, FactSet, Morningstar, and internal systems. Utilize Azure Databricks (or similar Azure tech stack) to perform data transformations, cleansing, and aggregations, preparing data for analysis and reporting purposes. Implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle. Develop and maintain data models for investment data, ensuring alignment with business requirements and supporting efficient data analysis and reporting. Optimize data storage and retrieval processes using Azure Data Lake Storage, Azure SQL Database, and Azure Cosmos DB, Azure Synopse, or Azure Fabric selecting the most appropriate storage solutions based on data characteristics and performance needs. Collaborate with data scientists and business analysts to understand data requirements and implement data solutions that meet those needs effectively. Contribute to the development and maintenance of documentation related to data pipelines, data models, and data quality processes. Qualifications Bachelor’s degree in Computer Science, Finance, or other relevant discipline. 10+ years of experience in data and analytics space and 8+ years of experience in job specific work. Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions. Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark). Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data). Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams. Personal Attributes Relationship Building ; works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers. Communication ; strong interpersonal and verbal/written communication skills; ability to present complex material. Independence & Collaboration ; experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns. Work Ethic ; focus on continual development, performance, accountability, and self-motivation. Flexibility & Organization ; adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment. Intellectual Curiosity ; energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies. Driving Results ; sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through. Judgment ; makes recommendations and decisions that balance a variety of factors. Education Bachelor’s degree in Computer Science, Finance, or other relevant discipline. Base Salary Range $200,000 - $225,000 I n addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education. Equal Opportunity Employment Policy Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources. For positions based in Los Angeles For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.
Posted 30+ days ago
Senior Field Engineer - Data Centers
ServerfarmHockley, Texas
Serverfarm is a leading developer and operator of data centers with over 750+ locations and key customer relationships in 45 countries. We're revolutionizing how data centers operate across North America, Western Europe, and Israel, serving the world's leading technology and hyperscale companies. With Manulife Investment Management's acquisition in 2023 and our award-winning InCommand platform we're positioned for explosive growth as AI adoption and cloud migration drive unprecedented demand for data center capacity. A career at Serverfarm means being at the forefront of digital infrastructure innovation, where your work directly impacts how the world's data is managed and secured. As we target 4x growth over the next four years, you'll have unprecedented opportunities to take on new challenges, develop cutting-edge skills, and grow your career across our expanding global operations. Join our team of innovators and help shape the future of sustainable data centers while building a career without boundaries. Role This role will support delivery of the Ops Engineering 2025 Goals. The Senior Field Engineering role will directly be responsible for conducting postmortems following all Impacting Events and Near misses and adjust the commissioning deliverables accordingly to improve initial system quality. Senior Engineers are hands-on builders and the most senior individual contributors working on innovative solutions for our most challenging problems. The Data Center Senior Field Engineer will support all SERVERFARM data center facilities’ designs to define high-standards and enforce delivering quality and constant improvement for all operational, business and customer requirements for Serverfarm’s global data center portfolio. Authors, champions and advises leadership and engineering teams on standards, best practices and innovative solutions for the most challenging problems to improve quality, reliability, availability, operational efficiencies to support growth. Key Accountabilities Develop and maintain global consistent colocation design standards to drive equivalent resilience in new and existing data centers. Support the deployment of new ServerFarm products in colocation data centers in a consistent way, including liquid cooling and high-density racks and systems to support hyperscale requirements for Cloud-compute, Machine Learning and AI services. Reviews and updates global design standards and generational data center template designs. Support development and operational engineering teams to review and accept proposed changes to site-specific infrastructure at ServerFarm data centers to validate standards, and to identify and document Accepted Deviations when appropriate. Work with internal and external global teams to drive consistent standard solutions to expedite review processes and drive cost efficiency. Set up global strategies to deploy specific customer products or design, and to drive consistency and efficiencies for delivering customer requirements. Functionally decompose complex problems into simple, straight-forward solutions. Documentation, release and management of design guides, standards, specifications and procedures. Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. 35% domestic and international travel. Required Skills Bachelor’s degree in mechanical, electrical or closely aligned engineering discipline, or commensurate industry experience or military experience in lieu of degree may be acceptable. 5+ years of electrical non-intern engineering experience in Mission Critical facilities including, but not limited to data centers, power generation, oil/gas, and other mission critical facilities and/or infrastructure. (Experienced Engineer) 3+ years of experience defining system-level architecture, performance, and equipment requirements, conceptual designs, project documentation and project delivery and hand-off. 2+ years of experience in developing and presenting business case analysis to senior leadership. Preferred Skills Chartered or Professional Engineer (PE). Experience of working with large global data center providers in multiple regions globally. Knowledge of local building codes and safety regulations in multiple jurisdictions. Ability to develop new concepts through exploration, design, testing and into deployment/mass production. Proven track record in creating and releasing high quality, consistent documentation for processes, standards and procedures. 5+ years of leading root cause analysis of equipment or system failures as well as incident support management. Knowledge of critical data center equipment (Generators, Uninterruptible Power Supplies, Switchgear, Transformers, Power Feeders, Chillers, Plumbing, Fire Detection/Suppression, Air Handling Units, Computer Room Air Handling/Conditioning Units, Chillers, UPS, CRAH, CRAC…). Demonstrated knowledge of electrical design codes in different locations, knowledge working with SPOF. Strong record of mentoring and growing teams. Excellent verbal and writing communication skills. Travel Requirements Regular travel (30% - 25% domestic/5% international) to data center locations to meet with local authorities/utility leaders and internal customers. Occasional travel (5%) to industry conferences to maintain key partner and customer relationships. $160,000 - $180,000 a year The listed salary range for this position is an estimate based on the competitive job market. Final compensation will be based on your own individual skills, experience, and location. The above statements are intended to describe the general nature and level of work being performed in this role. They are not intended to serve as an exhaustive list of all possible responsibilities and duties. We encourage you to apply even if your experience isn't an exact match to the job description.
Posted 1 week ago
Senior Data Engineer ( Chicago or Boston)
Press Ganey AssociatesChicago, Illinois
Company Description PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success. Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood. Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. Dare to innovate: We challenge the status quo with creativity and innovation as our true north. Better together: We check our egos at the door. We work together, so we win together. We are seeking an experienced Staff Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our company's data infrastructure, which includes data warehouses, data pipelines, and data integration platforms. The Staff Data Engineer works directly with the data science, analytics, and data quality teams to ensure that the data infrastructure supports the company's business objectives. Duties & Responsibilities: Design, develop, and maintain our data infrastructure, which includes data warehouses, data pipelines, and data integration platforms. Work with the data science, analytics, and data quality teams to ensure that the data infrastructure supports the company's business objectives. Develop and maintain ETL pipelines and data integration workflows. Optimize and fine-tune data structures and queries to ensure high performance and scalability. Develop and maintain data quality and data governance processes. Collaborate with cross-functional teams to define and implement data models that support business requirements and new analytic models and algorithms. Ensure that data is collected, stored, and processed in compliance with data privacy regulations. Develop and maintain documentation for all data-related processes and systems. Stay up-to-date with emerging trends and technologies in the data engineering field. Qualifications Technical Skills: Expertise in SQL and NoSQL databases, data warehousing, and data modeling. Fluency in Python and SQL. Additional data or system languages (e.g. Java, Scala, Go, R) a plus. Experience with data warehousing technologies such as Google BigQuery, Delta Lake, Amazon Redshift or Snowflake. Experience using data pipeline frameworks such as Apache Beam or Apache Spark at scale. Experience with data orchestration / automation frameworks such as Airflow, Databricks and MLFlow. Experience with data modeling and data governance best practices. Experience with data visualization tools such as Tableau or Power BI. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years experience in data engineering, with a track record of designing, developing, and maintaining large-scale data infrastructure. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications: Master’s degree in Computer Science, Engineering, or a related field. Experience in machine learning or data science. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Additional Information for US based jobs: Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class. Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. The expected base salary for this position ranges from $140,000 to $160,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results. All your information will be kept confidential according to EEO guidelines. Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/
Posted 1 week ago
Experienced Data Scientist
PlaidSan Francisco, CA
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork. You’ll be a data scientist as a part of the Data org, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat! We're guided by our principles including impact, growing together, embracing openness and positivity, and inventing tomorrow; we’re looking for leaders who are motivated by those same principles. Responsibilities Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products Conducting large-scale A/B experiments Identifying useful signals that can be fed into machine learning models. Informing and influencing product and engineering teams through your data analysis and presentations Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid Championing a data-first approach toward decision-making across the entire organization. Qualifications 5+ years of industry experience in a product-focused Data Science role Deep familiarity with SQL and data visualization tools Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations Familiarity with the AWS stack Understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, and natural language processing Proven ability to tailor your solutions to business problems in a cross-functional team Ability to code and iterate independently in Python to conduct exploratory data analysis Experience building data pipelines in DBT or Airflow is a plus Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field Target base salary for this role is between $155,520 and $232, 200 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here .
Posted 30+ days ago
Director, Data Architecture & Engineering
Planned Parenthood Federation of AmericaWashington, DC
Planned Parenthood is the nation’s leading provider and advocate of high-quality, affordable sexual and reproductive health care for all people, as well as the nation’s largest provider of sex education. With more than 600 health centers across the country, Planned Parenthood organizations serve all patients with care and compassion, with respect, and without judgment, striving to create equitable access to health care. Through health centers, programs in schools and communities, and online resources, Planned Parenthood is a trusted source of reliable education and information that allows people to make informed health decisions. We do all this because we care passionately about helping people lead healthier lives. Planned Parenthood Federation of America (PPFA) is a 501(c)(3) charitable organization that supports the independently incorporated Planned Parenthood affiliates operating health centers across the U.S. Planned Parenthood Action Fund is an independent, nonpartisan, not-for-profit membership organization formed as the advocacy and political arm of Planned Parenthood Federation of America. The Action Fund engages in educational, advocacy, and electoral activity, including grassroots organizing, legislative advocacy, and voter education. Planned Parenthood values the experience of employees, and our cultural ethos is “In This Together” which aims to support a workplace culture that centers on belonging, learning, and individual recognition. PPFA and the Action Fund seek a Director, Data Architecture & Engineering . This individual will report to the National Director, IT Enterprise Architecture in the Office of the Chief Information Officer (OCIO). Purpose: The Director, Data Architecture and Engineering will play a pivotal role in guiding the organization's technology strategy. By providing expertise and aligning data architecture with the broader enterprise goals, this individual ensures that technology investments are optimized to meet both current operational needs and future strategic objectives. This is achieved through the following actions: ● Enabling business and IT leaders to make investment decisions that balance and prioritize current operational demands, disruptions, and opportunities with the longer-term strategic vision of the organization ● Providing technology guidance, roadmaps, principles, standards, and best practices related to data architecture and engineering ● Supporting the Tech Business Partner team by providing expertise and guidance on data solutions ● Ensuring alignment of data architecture and engineering with the overall enterprise architecture strategy Delivery: This individual will be expected to: ● Develop and maintain a comprehensive data architecture framework that aligns with PPFA's business strategy and supports the organization's data management needs. ● Provide technical leadership and guidance on data engineering projects, ensuring adherence to architectural principles, standards, and best practices. ● Collaborate with stakeholders across the organization to gather data requirements, analyze business needs, and translate them into actionable data solutions. ● Design, implement, and maintain data models, data pipelines, and data storage solutions that meet PPFA's current and future data needs. ● Evaluate and recommend new and emerging data technologies, tools, and techniques to enhance PPFA's data capabilities. ● Champion automation in data engineering workflows to improve efficiency and reduce manual intervention. ● Contribute to the development and maintenance of data governance processes and policies to ensure data quality, integrity, and security. Engagement: This individual will engage with others around the organization in the following ways: ● Partner with the National Director, IT Enterprise Architecture, to ensure alignment of data architecture and engineering with the overall enterprise architecture strategy. ● Collaborate with the Tech Business Partner team to provide expertise and guidance on data solutions, ensuring alignment with business needs and strategic goals. ● Work closely with IT teams, including application development, infrastructure, and security, to ensure seamless integration of data solutions into PPFA's technology ecosystem. ● Engage with business stakeholders to understand their data needs, provide technical guidance, and foster a data-driven culture within the organization. ● Partner with business stakeholders and data analytics teams to support the delivery of data-driven insights and capabilities. ● Communicate effectively with technical and non-technical audiences, translating complex data concepts into clear and concise language. Knowledge, Skills, and Abilities (KSAs): ● 8+ years of experience in data architecture, data engineering, or related roles is required. ● Strong understanding of cloud principles, data modeling techniques, data warehousing principles, and data integration patterns is required. ● Experience with data engineering tools and technologies, including ETL processes, data pipelines, and data storage solutions is required. ● Knowledge of data security best practices and experience implementing data protection measures is required. ● Excellent communication, interpersonal, and collaboration skills are required. ● Bachelor's degree in computer science, information systems, or a related field is preferred, but not required. Travel: 0-10%, as needed Total offer package to include generous vacation + sick leave + paid holidays, individual/family provided medical, dental and vision benefits effective day 1, life insurance, short/long term disability, paid family leave and 401k. We also offer voluntary opt-in for Flexible Spending Account (FSA) and Transportation/Commuter accounts. We value a truly diverse workforce and a culture of inclusivity and belonging. Our goal is to attract qualified candidates and encourage applications from all individuals without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity, or any other characteristic protected by applicable law. We're committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. PPFA participates in the E-Verify program and is an Equal Opportunity Employer. #LI-SY1 PDN-HR Roles that are denoted as NYC, DC, or both will work a hybrid schedule and are expected to work in their assigned PPFA office a minimum 2 days per week unless the role is denoted as onsite, which requires working onsite full time or 5 days per week.
Posted 4 days ago
Senior Data Scientist (Insights)
WhoopBoston, MA
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior Data Scientist, you’ll lead development of technology at the core of the business. You’ll create, improve, and maintain algorithms that uncover meaningful insights using WHOOP data, including wearable metrics, survey responses, and ground-truth data . As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services to host the insights services. You’ll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to surface novel insights. RESPONSIBILITIES: Build statistical models using techniques such as causal modeling and mediation analysis to provide members with insights about how their behavior affects their WHOOP metrics Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation Work with MLOps Engineers to build robust, scalable, and efficient machine learning pipelines for deployment and continuous improvement Conduct research on the use of wearable sensors to analyze primary and secondary end-points derived from metrics and the implications of this analysis on overall health of the user Design data collection studies to improve inference of health insights and demonstrate the efficacy of WHOOP coaching in improving member health Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services QUALIFICATIONS: Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field (Master’s preferred) 5+ years of full-time professional experience in a related area 5+ years experience applying advanced machine learning and statistical techniques Significant experience working with time series data, causal modeling, probabilistic methods Proficiency in scientific Python and SQL Experience deploying services and maintaining live code through logging and monitoring within a production environment Excellent verbal and written communication skills Preferred Qualifications: Experience in software engineering, including the development, deployment, and maintenance of production-quality software. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Posted 30+ days ago
Senior Data Scientist/Applied Scientist, AI Products
AttentiveSan Francisco, CA
Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate. With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn , X (formerly Twitter), or Instagram . Attentive’s growth has been recognized by Deloitte’s Fast 500 , Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees! About the Role Our Data Science team is a world-class data, applied science, and ML organization that leads data-driven decision-making and the conversational AI efforts for the entire company. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented data scientists in a high-performance and high-impact culture. As a Senior Data Scientist on our AI team, you will play a crucial role in transforming data into actionable insights and models for our AI product offerings. We are looking for an experienced scientist who relishes the opportunity to develop novel approaches and apply them at Attentive’s scale. Your contributions will directly influence the development of cutting-edge ML solutions, empowering our team to craft highly effective messaging strategies. What You'll Accomplish Lead the development of statistical, econometric, optimization, and machine learning models for a range of applications in our messaging and AI product offerings Design and execute experiments, interpret results, and draw actionable conclusions Use data to understand product performance, identify improvement opportunities, and define product/team roadmaps Present findings to senior leadership to inform and influence business decisions Collaborate with cross-functional teams across product, engineering, client services, and sales to drive business value from ideation to production Your Expertise Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics Knowledge of experimental design and analysis Experience with exploratory data analysis, statistical analysis and testing, and model development. Ability to use Python to work efficiently at scale with large data sets Advanced proficiency in SQL Nice to Haves 4+ years of industry experience as an Applied or Data Scientist or equivalent Familiarity with advanced statistical inference, experimentation, and causal inference methods Econometric experience with pricing and promotion optimization Expertise in customer lifetime value modeling Experience in personalization systems and cross-sectional cohort modeling Background in operations research (e.g., scheduling or assignment problems) Knowledge of advanced topics in XGBoost modeling You'll get competitive perks and benefits , from health & wellness to equity, to help you bring your best self to work. For US based applicants: - The US base salary range for this full-time position is $230,000 - $280,000 annually + equity + benefits - Equity is a substantial part of the total compensation package - Our salary ranges are determined by role, level and location #LI-EF1 Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE , Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.
Posted 1 week ago
Principal Data Engineer
Self LenderAustin, TX
Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve. Our team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit. Executing on our mission requires deep collaboration across our teams to ensure our products reach the people who can benefit from them the most, particularly the 100 million+ Americans who have no or low credit. We celebrate diversity and are committed to creating an inclusive environment for all employees. To that end, we seek to recruit, develop and retain the most talented people from a diverse candidate pool. At Self Financial, we love to put challenges into the hands of talented individuals to solve. Our teams are composed of skilled professionals, who work together in concert to innovate both our credit building services and the processes we organize around. We empower every individual of the Engineering Organization to bring their creativity and skills to these efforts. Our goal is to build both world class credit building products and to foster an exciting and engaging work environment. In short, at Self, you will carry influence. As our Principal Data Engineer, you will be responsible for organizing plans that drive outcomes and making a direct impact on our mission. We want you to provide technical leadership to your teammates through coaching and mentorship, collaborate cross-functionally to implement impactful improvements to our product. As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains a strategic asset for Self Financial by delivering timely, high-quality, and purpose-built data to our team members. Our team supports Self Financial's internal Analytics, Machine Learning, and Business Intelligence organizations. What can you expect to work on/who you will work with? The Principal Data Engineer is part of the Self Financial Data Engineering Team and operates as part of a cross functional product development team that includes Architecture, Infrastructure, and Product Management Your primary focus will be to provide technical leadership for the operations of the Data Engineering team at Self Financial. This includes making design decisions regarding the architecture of our data environment, providing guidance on tools and processes, collaborating with and supporting our data customers, and providing technical mentorship for the team. Your day-to-day activities will include: Collaborate closely with Product Management and data customers to translate Self Financial's strategic vision into actionable projects. Provide leadership in data architecture design, platform design, process design, and tool selection and implementation for the Data Engineering technology stack. Create physical and logical data models using large, complex datasets. Manage data pipelines and ETL/ELT processes using SQL and Python. Establish tools and processes to manage data lifecycle and quality standards. Who you are: 10+ years of experience with database development, database integration, and data analytics tools 10+ years of experience designing and implementing complex Data Warehouse and Data Lake data models (Kimball) Proven experience with technical leadership with an data engineering team Willingness to embrace the responsibilities of team leadership and accountability for team results. Expertise in managing Data ETL/ELT with large data sets Experience with columnar data structures such as Amazon RedShift Extensive experience with AWS data warehousing tools. Experience with common software engineering tools such as Git, JIRA, Confluence and similar platforms. Expertise with Apache Airflow and Python Excellent listening, interpersonal, written, and oral communication skills The interview process: 30 - 60 minute phone screen with the hiring manager 1.5 hour coding/design/Q&A session with 2 or more developers 30-minute interview with product manager 30-minute wrap-up meeting with the hiring manager, if moving forward Benefits and Perks: We have the compensation and benefits you expect. But there's one thing that Self Financial can offer that many companies cannot: we can positively change the world, while making a profit. We are a team of Builders, empowering our customers to build their dreams. We have a Do the Right Thing ethos in all that we do, and we hope you value that approach, too. Our perks include: Company equity in the form of Stock Options Performance-based bonuses Generous employer-paid health, vision and dental insurance coverage Flexible vacation policy Educational assistance Free gym membership Casual dress code Team building events and activities Remote work arrangements/ flexible work schedule Paid parental leave Self Financial requires all employees hired to successfully pass a background check. We are an Equal Opportunity Employer. At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.
Posted 30+ days ago
Data Engineer, Personalization
SpotifyNew York, NY
Personalization’s Hulk squad produces Human Understandable Language Knowledge to enrich content understanding. We utilize Large Language Models to understand podcasts and audiobooks, building reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators. We are looking for a Data Engineer with interest in ML techniques to join our team and help build the future of podcast and audiobook listening experiences for millions of listeners at Spotify. This is a unique opportunity to help develop and shape Spotify recommendations. You’ll grow your skills in engineering at scale, work with a cross-functional team of Machine Learning Engineers, Backend Engineers, Data Engineers, and researchers, and join a super motivated and supportive team. What You'll Do Work with large-scale data pipelines using data processing frameworks like Scio (built on Apache Beam), Hendrix ML, Ray, PyTorch, and Dataflow and other Google Cloud Platform offerings Support streaming and batch inference of core LLM models Develop new data pipelines to meet emerging needs and maintain our existing data systems as necessary to ensure they are reliable, scalable, and well tested Work with ML engineers to develop training and evaluation datasets for Generative LLM models Own the development of data solutions from architecture to delivery Collaborate with other backend and data engineers, ML engineers, data scientists, researchers, and other stakeholders Develop monitoring tools to automatically track AI product quality. This likely involves the use of LLMs to evaluate results as well as closer monitoring of performance indicators, and creation and maintenance of metrics datasets and dashboards Work in an agile team to continuously experiment, iterate and deliver on new product objectives Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability Who You Are You are passionate about data and proficient in data modeling, data access, and data storage optimization You have experience building high-scale production data pipelines with one or more data processing frameworks such as Scio (built on Apache Beam), and major props if you know Ray You might have worked with orchestration frameworks such as Flyte You care about agile software processes, data-driven development, reliability, and responsible experimentation You value collaboration and partnership within teams Experience, exposure, or curiosity about ML Data processing and inference pipelines, LLM fine-tuning, and/or using LLMs for data analysis Bonus if you have experience with NRT (near real time) systems Bonus if you experience with prompt engineering for LLMs and prompt optimization tools like DSPy Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location. This team operates within the Eastern Standard time zone for collaboration. The United States base range for this position is $160,091- $228,702 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Posted 30+ days ago
Vice President, Head of Data Management and AI
Mutual of America Financial GroupNew York, New York
Mutual of America Financial Group Job Title: VP, Head of Data Management & AI Location: New York, NY or Boca Raton, FL (hybrid) Who We Are: At Mutual of America Financial Group, we help people build the assets they need to achieve greater financial security. Our Company is built upon a solid foundation of integrity, excellence, and social responsibility. We were founded in 1945 to provide small and mid-sized nonprofit organizations with pension and retirement-related services, along with leading customer support. Today, we provide these services also to for-profit companies, as well as to governmental entities, Tribal enterprises, institutional investors, and individuals. We work diligently to understand the needs of our customers so we can help them achieve their financial savings goals. We are committed to bringing talented and motivated people together to help our customers achieve a financially secure future. Role Summary: We are looking for a Head of Data Management & AI to join us to lead a team dedicated to driving value for the business by leveraging data and artificial intelligence to enhance decision-making, performance, and operational efficiency. This leader will own the development and execution of the data and AI strategy, ensuring that all available data is transformed into actionable insights through advanced machine learning models and optimization algorithms. The role encompasses overseeing the creation and evolution of data platforms, supporting business groups in data projects, and building scalable AI solutions that can be used across the organization. The role requires exceptional leadership, communication, and organizational skills, with the ability to balance strategic direction and hands-on execution. You will ensure that data and AI initiatives align with the broader organizational goals and deliver measurable value. Responsibilities: Define data and AI vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the Company’s data and analytics strategy in collaboration with the business. Build partnerships with executive leadership and senior team members to execute on the vision for managing data as a company asset — to exploit data and AI capabilities to maximize the value derived from data assets. Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision-making. Foster the creation of a data-driven culture and data literacy across the organization. Lead these efforts by developing the small technical team talent and maturing the capability of the organization. Overseeing the collection, storage, management, quality, and protection of data. Implementing data privacy policies and complying with data protection regulations. Manage and support data governance frameworks with continuous improvement to data quality. Effectively communicate the status, value, and importance of data collection to executive members and staff. Oversee data platform execution, lead the implementation and continuous optimization of the organization’s defined data platform, ensuring it efficiently supports AI, machine learning, and analytics capabilities across all departments. AI strategy implementation and scaling, oversee the execution and scaling of the pre-defined AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas. Manage the development, refinement, and deployment of cutting-edge AI models and pipelines across various applications. Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices. Collaborate with internal stakeholders (e.g. engineers, data scientists, product managers) to integrate AI governance principles into project development and deployment. Data-driven optimization: Lead efforts to apply AI for performance optimization across the business, including leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization Cross-functional AI integration: Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows. Innovation and continuous improvement: Ensure that the AI and Data teams remain on the cutting edge by exploring emerging technologies thus promoting a culture of innovation to maintain a competitive edge. Collaborate on data projects: Partner with business units to ensure successful execution of critical data projects that have already been scoped. Leadership & team development: Manage and mentor a team of AI and Data specialists, data scientists, and engineers, providing guidance to ensure the team delivers impactful results while fostering a culture of high performance, innovation, and adaptability. Required Qualifications: Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains. Strong leadership skills, with the ability to build, lead, and mentor teams while navigating a dynamic business landscape. Experience building and scaling data platforms that support AI, data engineering, and analytics projects across an organization. Experience working with Amazon data management products and services. Expertise in defining and implementing data strategy, governance, and data management best practices. Strong knowledge of Qlik business intelligence tool Knowledge of relevant cloud-based solutions, particular experience building data strategies in Amazon Knowledge of business intelligence tools such as Qlik Strong knowledge of AI and data technologies including Python Experience with NLP and model interpretability libraries, bringing explain-ability to complex models. Excellent communication and collaboration skills, with the ability to work cross-functionally and manage relationships with multiple business and technical stakeholders. The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders. Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment. Preferred Qualifications: 10 years of leading data teams at an enterprise level 5 years of leading AI teams at an enterprise level Strong knowledge of data warehousing, data lakes and big data technologies Strong knowledge of cloud based (preferably Amazon) data management tools Proficiency in data analysis tools and programming languages like SQL, Python, R. Understanding of data modeling and data architecture principles Proficient with data governance best practices What we offer you: Competitive base salary Annual Bonus Comprehensive Benefits Package (medical, dental, and vision) that starts day one of employment 401(k) Match: 100% Employer Match on up to 6% of employee contributions (Salary and Incentive Comp) Parental Leave: 8 weeks fully paid Paid time off: 28 days plus two floating personal holidays The salary range below describes the minimum to maximum base salary range for this role. The role is also eligible for an annual bonus, whereby total compensation may exceed this range depending on individual and / or company performance. Base Salary Range: $188,800 - $283,100 Visit www.mutualofamerica.com/careers for additional details about life at Mutual of America. You can also follow us on Twitter: @mutualofamerica | Facebook: @mutualofamerica Mutual of America Financial Group provides equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, or any other classification prohibited by applicable law.
Posted 30+ days ago
Data Engineer - Multiple Levels (TS/SCI with Poly Required)
Red AlphaColumbia, Maryland
Description A little about us: The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life: Despite the title of this role being “Data Engineer” (which sounds very specific), it is actually a great opportunity to demonstrate the diversity of your skills across the data science spectrum. From procurement, consolidation, and cleansing to modeling and presentation, you will influence and add value in several areas across the data science life cycle in order to answer mission and business questions. Subject areas include but are not limited to the following: Employ a variety of languages and tools (e.g., scripting languages) to integrate systems. Conduct research and leverage large volumes of data from multiple sources to answer mission and business questions. Employ sophisticated analytics, programs, machine learning, and statistical methods to prepare data for use in analytical processes and prescriptive modeling. Explore and examine data for hidden patterns. Automate work through the use of predictive and prescriptive analytics. Develop processes to extract/transform/load (ETL) data between different systems. What you bring to the table: Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. All of our data scientists need the following skills: Proficiency with a scripting language such as R or Python Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list. A B.S. Degree in Data Science, Mathematics, Computer Science or related field. For entry-level data scientists, 0-3 years of experience on Data Science projects. For mid-level data scientists, 3-6 years of experience on Data Science projects. For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams. A TS/SCI with Polygraph security clearance. For this particular role, you will also need: Experience in identifying, developing, and deploying new approaches to automate data collection, consolidation, and analysis Proven ability to develop and deploy software and scripts needed to collect business-relevant metrics based on enterprise data These are important skills to have, but not necessarily mandatory: Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues. Experience with Java, C, or other compiled languages Comprehensive knowledge of Saturday Night Live sketches (just kidding) Experience with SQL/NoSQL, Spark, Hadoop Familiarity with Javascript and Scripting Familiarity with Docker, GitLab, and React Familiarity with Agile processes and structures, and able to work on a software development team The total package: Our total compensation package was strategically designed with our members in mind with the intention to: r eward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/ disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are: Entry-level: $95,000 - $135,000 Mid-level: $110,000 - $155,000 Senior-level: $135,000 - $235,000 Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!
Posted 30+ days ago
Data Scientist
Clarity InnovationsTampa, Florida
Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world. Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact. We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security. Role This role is for a Data Scientist on a close-knit team supporting a U.S. Special Operations Command program at MacDill AFB. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization. Responsibilities A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques. The Data Scientist shall perform the following tasks: • Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method. • Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data • Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. • Coordinate with Data Engineers to build Data environments providing data identified by other data professionals • Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. • Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques. • Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. • Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. • Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. • Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Requirements A minimum of 1 year of hands-on Data Science experience is required. Bachelor's Degree in a STEM field is required. Proficient with one or more programming languages (Java, C++, Python, R, etc.) Proficient in Agile Development and Git operations Secret Clearance minimum Ability to work on-site in secure spaces. Preferred Qualifications Familiarity with DoD Top Secret clearance with SCI eligibility. Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Posted 6 days ago
Medical Director-DATA 2000 Waiver
Brightpoint BrandBrooklyn, New York
ESSENTIAL FUNCTIONS: Provides direct patient addiction treatment and care according to professional guidelines and best practices. Maintains collaborative agreements with the psychiatric nurse practitioners. Participates in the development of clinical systems that assures the provision of care for all clients in accordance with federal, state and local regulations. Participates in developing plans of care for clients in collaboration with the multidisciplinary treatment team. Maintains liaison with other departments/disciplines relating to the provision of psychiatric care. REQUIREMENTS: Physician licensed and currently registered as such by the New York State Education Department Hold a Federal DATA 2000 waiver (buprenorphine-certified), within six months of employment The medical director should hold either: a subspecialty board certification in addiction psychiatry from the American Board of Medical Specialties; or an addiction certification from the American Society of Addiction Medicine; or a certification by the American Board of Addiction Medicine (ABAM); or a subspecialty board certification in Addiction Medicine from the American Osteopathic Association?
Posted 30+ days ago
Static Data Operations Manager
Aztec GroupRadnor, Pennsylvania
Reports to the Senior Manager – Functional Operations and Static Data Center of Excellence Be part of a team of committed professionals that provide an expert driven service of excellence to clients both internally and externally. The Functional Operations and Static Data (FOSD) team plays a crucial role in supporting the Aztec Group by enhancing operational efficiency and ensuring the accuracy and integrity of static data across various functions and jurisdictions. The team is responsible for managing and maintaining static data, which includes critical information that does not frequently change, such as bank account detail amendments and other static data amendments in line with our internal controls and processes. This includes performing call backs to verify the information where necessary, ensuring that all amendments are accurate and secure. The team also focuses on continuous improvement and innovation, identifying opportunities to streamline processes and implement new operational tasks. By doing so, they help the organization to adapt to changing business needs and maintain a competitive edge. To support ongoing growth within the US and globally, we are looking to expand the existing team by establishing a footprint in our Philadelphia office, the successful applicant will be required to support senior management in identifying and onboarding the rest of this new branch. Key Responsibilities: Lead and Guide: Provide clear direction and guidance to the team, ensuring they understand their roles and responsibilities. Managerial Reviews: Conduct 'four eyes' reviews to ensure updates are accurate and comply with internal policies. Risk Management: Prioritize risk reduction by adhering to strict controls and compliance standards. Team Relationships: Foster strong global relationships with direct and indirect reports to encourage proactive teamwork and collaboration. Achieve KPIs: Drive the team to meet individual and collective KPIs that contribute to overall team goals. Help ensure the new US branch of the team achieve their specific KPIs. Client Satisfaction: Ensure the satisfaction of clients, client-facing and investor services teams, and investors by maintaining regular, open, and honest communication. Effective Communication: Communicate clearly with team members, clients, and other stakeholders to ensure alignment on objectives, SLAs, and expectations. Problem Solving: Focus on finding effective and efficient solutions to challenges and proactively adapt to expand our offerings. Continuous Improvement: Create and maintain a culture of continuous improvement by regularly reviewing and optimizing processes and technologies. Ad hoc Projects – Plan, manage and oversee ad hoc projects Operational Excellence: Training and Documentation : Utilize and update training support documentation as required for client-specific requirements. Staff Onboarding : Oversee the induction, integration, and training of new team members. IT Systems : Utilize multiple IT systems (eFront Invest (FIA), Bank Clarity, Investment Café, PearOnline, Intralinks, Viewpoint, Yardi, Aztec Invest) to ensure accurate data capture. Client-Facing Teams : Take ownership of allocated client-facing and investor services teams, ensuring regular review meetings are held to strengthen relationships and encourage open feedback. Workload Management : Demonstrate planning and prioritization skills to manage workloads and deliver quality results within agreed SLAs. Drive global team support through increased awareness and utilization of the US team. Open Communication : Facilitate open communication channels within the global team to address issues promptly and encourage feedback. Operational Issues : Manage day-to-day operational issues and respond to urgent client facing or investor services team requests. Escalation Point : Act as an escalation point for members of the Functional Operations and Static Data team, Investor Services and Client Facing Teams as needed. Process Awareness : Stay up to date with internal processes and procedures that impact the team and be aware of future changes. Group Values : Demonstrate the shared values of the Group: Bright, Caring, Passionate, Responsible, Unified. Additional Duties : Undertake other duties as directed by management. Skills, knowledge, expertise: Bachelor’s degree in finance, Accounting, Business Administration, or related field. Analytical Skills : Strong analytical skills to interpret data, identify trends, and make data-driven decisions. Communication Abilities : Excellent written and verbal communication abilities to interact effectively with clients and team members. Problem Solving : Ability to effectively identify and resolve issues, ensuring smooth operations. Time Management : Excellent time management skills to handle multiple tasks and meet deadlines effectively, while also balancing multiple time zone coverage. Positive Attitude : Maintain a positive attitude and proactively address challenges and opportunities. Leadership Experience : Demonstrated experience in leadership and managing teams effectively. Technical Proficiency : Proficient in data management systems and software including but not limited to eFront Invest (FIA), PearOnline, Bank Clarity, Investment Café, Intralinks, Yardi, Viewpoint, Investran. Computer Literacy : Essential computer literacy skills to perform tasks efficiently including Microsoft Word, Excel, and Teams. PowerBI and/or Alteryx experience a plus. Attention to Detail : Strong attention to detail to ensure accuracy and quality in work. Interpersonal Skills : Good interpersonal skills to develop close working relationships with global colleagues and teams. Relevant Experience : Previous experience in alternative investment funds or the investment management industry is preferred. Corporate or other relevant management roles is beneficial. We will provide the training, both in-house for relevant technical knowledge and also professional qualifications to enhance your professional development. You will need to be quick to learn new systems and great with people, as close working relationships between our colleagues and clients is at the heart of what we do.
Posted 30+ days ago
Data Scientist
KemperAlpharetta, Georgia
Location(s) Alpharetta, Georgia, Birmingham, Alabama, Dallas, Texas, Downers Grove, Illinois, Jacksonville, Florida, Remote-CT, Remote-FL, Remote-TX Details Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization’s success. As a member of the Kemper Auto Data Science team, this position is responsible for building and developing analytical solutions, especially in updating existing solutions. Responsibilities: Independently designs and develops analytical solutions. Develops and automates processes that can be deployed throughout the organization to solve reoccurring analytics needs. Communicates project progress and challenges to the working team. Develops database, technical, and business knowledge. Qualifications: Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of experience working in a data science/analytics environment. PhD in Mathematics, Statistics, Engineering, or other STEM field with related industry experience preferred. Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, matplotlib, etc.). Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural networks. Some experience with natural language processing is preferred. Prior experience working with imbalanced datasets and AWS is a plus. Ability to work with various data formats. This includes relational databases (especially), delimited text files, data frames, and JSONs. Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences. The range for this position is $90300 to $150400. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.) Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee. Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it. #LI-WH-1
Posted 30+ days ago
Senior Software Engineer - Infra & Data
StubHubAliso Viejo, California
StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity: In order to transform how millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. This role will be based in either our New York, NY or Los Angeles, CA or Aliso Viejo, CA office and has a hybrid (3 in-person days per week) work schedule. About the team: Our Infra & Data team is a group of passionate engineers who obsess about maintaining and evolving our internal service catalog that serves as the basis for creating new applications and services. We are responsible for build, deployment and artifact management. Also, responsible for infrastructure provisioning and management as well as attribution. We collaborate cross functionally across all platforms within the organization to ensure all teams are aligned on infrastructure best practices. What You've Done: 5-6+ years of professional experience in software development Experience with developing robust, mission-critical systems using one or multiple general-purpose programming languages (e.g., C/C++, Java, C# or any other OOP language) Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy Previous experience designing and developing solutions to complex problems with significant business impact A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives Proven ability to learn other coding languages, platforms, frameworks, and tools Experience owning projects from the initial idea all the way to production Experience mentoring junior engineers What You'll Do: Design, develop, test, deploy, and maintain impactful improvements across all StubHub’s platforms and products, resulting in high-quality outcomes Collaborate with team members to ensure best practices across our code Manage individual initiative priorities, deadlines, and deliverables with your technical expertise Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What We Offer: Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions. Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed. Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. Team-Building Events: Engage in vibrant team events that foster camaraderie and collaboration, creating an atmosphere where your professional and personal growth are celebrated. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range $200,000 — $275,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found here We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.
Posted 30+ days ago
Clinical Data Specialist
CelerionTempe, Arizona
Celerion is committed to swift, exceptional clinical research through translational medicine. Every day, we use our experience, agility, and innovative research strategies to help get drugs to market faster. Responsible for the review of all source data and ensure all applicable data is entered into its respective database and/or Case Report Form (CRF). Ensure the completeness, accuracy, and consistency of source data and CRF data entry so that it meets the standard of quality expected for reporting to Sponsors and regulatory bodies. Participate with auxiliary teams involved in study set up, conduct, and data cleaning of clinical trials. Essential Functions Attend study setup meetings to determine QC criteria and timelines for each study Review study-specific source documents to ensure all forms are accurate prior to study start and that all data collected is in accordance with study-specific Case Report Forms and protocol requirements. Ensure QC reviews are complete in accordance with study-specific timelines Review source data on an ongoing basis to ensure the following: Clinical source data is complete according to GCP and FDA guidelines, protocol deviations (if applicable) are documented, and source data is collected in accordance with Sponsor requirements, and Celerion SOPs/PGs. Ensure data corrections are completed according to GCP guidelines, and Celerion SOPs/PGs. Complete a Final QC to ensure all source data is accounted for and has been QC reviewed Perform accurate data entry and verification for Celerion Standard and Sponsor Provided EDCs. Archive source documentation including CRFs Complete QC/DE dedicated milestones in a timely manner Perform standard quality control steps Requirements High School Diploma or GED (relevant internal Celerion experience in lieu preferred) 1 - 2 years industry experience preferred Previous Quality Control/ Data Entry or related experience preferred Medical Terminology Training preferred Excellent oral and written communication skills Ability to organize and manage multiple priorities Experience working in an environment with complex processes and defined criteria Excellent time management skills required Proficient in MS Office applications required Excellent attention to detail skills required $20 - $20 an hour Compensation: $20/hr Celerion Values: Integrity Trust Teamwork Respect Are you ready to join our team? Celerion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, marital status, qualified protected veteran status, or disability.
Posted 4 days ago
Product Operations Analyst, Media Data Platform
Home DepotAtlanta, Georgia
With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Home Depot manages a wide and varied set of media and marketing data. The Product Operations Analyst will manage the daily jobs to receive data from external systems and that enable users to consume The Home Depot's media data. The Product Operations Analyst will also be responsible for triaging questions from data consumers to either data owners or technology teams to investigate if the onboarding or syndicating services needs review. This role will be a trusted resource to teams that need media data for high-value reports, insights and ad products. This role is an excellent entry-point to Product Management, Data Management, and Marketing/Retail Media at The Home Depot, with the opportunity to grow within many different parts of the organization. Key Responsibilities: Utilize Web analysis tools, customer feedback, and primary/secondary research to develop an integrated view of the customer, key trends, and a view of how best we can serve customers online. Strategic ability to envision new features and functions that meet business needs in a way that is both feasible and practical. Stay aware of online customer experience best practices and translate into insights specific to Home Depot eBusiness. Investigate specific areas of the customer experience and develop fact-based recommendations on how to improve our online experience and/or better align results with business objectives. Manage and execute marketing and media strategy, including but not limited to, e-mail marketing, search engine marketing, special promotions, and affiliate marketing, in order to maximize business and marketing objectives. Act as daily project manager for assigned marketing/media projects and each phase of the online marketing/media process: strategy, planning, launch, optimization, and measurement/analysis. Manage relationships with third-party vendors and contractors including vendor solicitations. Stay up-to-date and advise of the latest trends in interactive marketing/media and develop Point of View documents/presentations on new trends or special opportunities. Direct Manager/Direct Reports: Reports to Senior Manager. This position has no direct reports. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Overnight travel less than 10% Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Bachelor's degree preferred. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Familiar with the Internet, web marketing, and online user experience concepts, practices, business models, and programs. Consulting/advisory skills Able to work with internal/external clients to develop and execute programs that meet business objectives. Strong analytic skills including but not limited to financial analysis and budget management. Capacity to understand technical products and concepts. Experience with Web analytics software.
Posted 30+ days ago
Engineering Manager, ML Training Data Team
EtsyBrooklyn, New York
Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee , whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range: $226,000.00 - $294,000.00 What’s the role? As the Engineering Manager you will be responsible for building and scaling our ML Training data team at Etsy. We are working on cutting-edge foundational tools at Etsy that accelerate model prototyping and development by generating datasets for model training with point-in-time accuracy, ensuring minimal training-serving skew. It's an integral part of our ML Enablement efforts, enhancing the efficiency and accuracy of our data-driven solutions, that will support various high visibility Machine Learning teams at Etsy including Search Ranking, Personalized Recommendations, etc. Do you find joy in sophisticated architectures that involve leading highly performant teams specializing in distributed systems, machine learning and multiple collaborators? If so, this could be the perfect match. This is a full-time position reporting to the Senior Engineering Manager, ML Enablement. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here . What’s this team like at Etsy? The Training data team is part of the ML Enablement organization. Our mission is to enable efficient and impactful machine learning across Etsy as a platform. The broader ML Enablement team maintains systems that enable feature creation, storage, retrieval, as well as embeddings workflows that power personalized search, recommendations, and more. Our work drives innovation and enhances the experience for millions of Etsy buyers and sellers. As a platform team with a customer focussed perspective, we tackle meaningful, complex challenges and build scalable solutions, enabling impactful contributions. What does the day-to-day look like? Manage and grow a team of outstanding machine learning engineers, software engineers, and tech leaders to design, build, and support Etsy’s Training data systems. Collaborate with other leaders at Etsy to drive the technical and strategic vision for advancing ML technology with a focus on ML infrastructure tools for generating training datasets for model training with point-in-time accuracy. Define the roadmap and supervise its execution. You will connect and coordinate business initiatives and team priorities. Provide technical guidance to the team to build an infrastructure that helps scientists to build state of the art ML models. Cultivate a strong engineering culture, responsible for delivering business results with the right quality and in a timely fashion Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualities that will help you thrive in this role are: Experience leading a team responsible for large-scale ML Infrastructure teams, with 7+ years of Software development experience including 2+ years of engineering management. A strong product sense: you take pride in building well designed products that ML practitioners love. Passion for translating the needs of ML practitioners into infrastructure offerings with an eye toward building large scale data systems to support ML training. Excellent at communicating context, giving and receiving feedback, fostering new ideas, and empowering others without micromanagement. ML practitioner leader or individual contributor experience owning end-to-end ML functions for a product domain. You have a background in Computer Science and related fields, equivalent to a B.S. degree or above in Computer Science, Electrical Engineering, Information Technology, or related engineering fields. You have practical experience in designing and architecting large-scale distributed systems and machine learning infrastructure. You possess strong proficiency in creating and optimizing large-scale Spark & Dataflow pipelines, as well as general data infrastructure technologies. This includes the ability to optimize storage formats and reduce job runtime & costs. You possess a strong understanding of ML foundations and extensive knowledge of the intricacies involved in ML development and training processes. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
Posted 30+ days ago
Manager, Data Analytics and Reporting
Corient ServicesMiami, Florida
Join a team that values your ambition and empowers your growth At Corient, we help high- and ultra-high-net-worth individuals and families to enjoy a full life, while enabling them to preserve their wealth for future generations, and provide for the people, causes and communities they care about. We focus on exceeding expectations, simplifying lives, and establishing legacies that last for generations. We are always looking for talented and motivated individuals to join our team. If you want to work for a company that values your contributions and supports your growth, we would like to meet you. Responsibilities Drive Enterprise Data Analytics and Reporting roadmap, aligning initiatives with company-wide strategy and objectives Provide strategic and operational insights backed by data to functional teams across the company Define requirements for analytics and reports as well as for data layer and any necessary source data that underpin them Collaborate with cross-functional teams to understand and prioritize data and reporting needs (e.g., business KPIs, client segmentations, financial reporting, forecasting) Lead data analysis projects, ensuring high-quality, relevant insights and reports Generate reports and dashboards to analyze/track business performance and support business decisions Ensure enterprise data quality through automated data audits and other mechanisms, following business requirements Help shape data strategy by working with senior team members to determine best practices and data governance policies. Actively promote data-driven decision-making across the organization Translate complex data findings into clear, actionable insights for a range of audiences, both technical and non-technical Act as a subject matter expert for data-related issues, providing guidance to more junior team members Maintain clear and comprehensive documentation of data standards (e.g., sources, models, pipelines, etc.) Follow best practices in data analytics/engineering, including version control, security, and change management procedures Qualifications & Requirements Distinguished academic track record in quantitative discipline Minimum 3-5+ year work experience in data-related roles Demonstrated proficiency in data analytics tooling (e.g., SQL, DBT, Python, Tableau, Excel) Ability to analyze structured/unstructured data and derive actionable insights Experience managing end-to-end analytics projects Ability to synthesize and present data insights in a way that drives decision-making Deep experience working with and joining disparate data sources Experience in applying advanced analytical approaches to deliver on key business objectives (e.g., forecasting, client segmentations, etc.) Preferred - data analytics or reporting-related experience with Databricks, Salesforce, Addepar, and/or Workday Experience growing and managing high-performing teams Manage projects and prioritize tasks effectively to deliver key projects Ability to communicate/ translate complex data insights into actionable business recommendations Strong analytical, problem-solving, and critical thinking skills Comfort with ambiguity and proven ownership mindset Effective communication, both orally and in writing Strong attention to detail with a high degree of accuracy and consistency Ability to lead projects end-to-end, in a structured way, and with minimal supervision High standards of professionalism and confidentiality This position description is intended to provide a general overview of the expectations and responsibilities of this position and may not include all tasks that may be assigned. As the nature of business demands change, so may the functions of this position. Additional duties and responsibilities may be assigned with or without notice. Physical Requirements This position requires the physical capabilities to work in an office environment, which may include prolonged periods of sitting at a desk and working on a computer. Corient seeks to make reasonable accommodations that enable individuals with disabilities to perform essential duties when possible. This position may require the ability to lift up to 15 pounds. This position is required to work onsite 4 days per week. U.S. Eligibility Requirements Must be 18 years of age or older. Must be willing to submit to a background investigation; any offer of employment is conditioned upon the successful completion of a background investigation. Must have unrestricted work authorization to work in the United States. For U.S. employment opportunities, Corient hires U.S. citizens or permanent residents. Exceptions to these requirements will be determined based on shortage of qualified candidates with a particular skill. Corient will require proof of work authorization. Corient participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. Must be willing to execute Corient’s Employee Agreement or Confidentiality and Non-Disclosure Agreement, which require, among other things, post-employment obligations relating to non-solicitation, confidentiality, and non-disclosure. What You Can Expect from Us Our dedication to the Employee Experience at Corient is aimed at supporting, empowering, and inspiring our talented team through: 401(k) Plan with Employer Matching Four Medical Plan options that is generously subsidized by Corient Employer paid Dental, Vision & Life and AD&D Insurance Employer paid Short-term & Long-term Disability Paid Maternity & Parental Leave Flexible Spending Accounts & Health Savings Accounts Dependent Care FSA Commuter & Transit FSA Corporate Discount Program - Perkspot Training Reimbursement Paid Professional Designations Giving back to the community - Volunteer days Corient is an integrated national U.S. wealth management firm providing comprehensive solutions to ultra-high-net-worth and high-net-worth clients. We combine the personal service, creativity and objective advice of a boutique with the power of an exclusive network of experienced advisors, capabilities and solutions to create a profoundly different wealth experience. As fiduciaries, we put our clients at the center of everything we do. We focus on exceeding expectations, simplifying lives and establishing lasting legacies. Full participation of all employees in a safe, healthy and respectful environment is key to individual and company success. We are committed to fully utilizing the abilities of all our employees and expect each of our employees to honor this commitment in their daily responsibilities. We are an equal opportunity employer. All candidates will be recruited and, if applicable, selected and employed without regard to sex, race, religion, marital status, veteran status, age, national origin, sexual orientation, gender identity, color, creed, ancestry, disability, genetic information or any other basis prohibited by law.
Posted 30+ days ago
Senior Vice President, Senior Data Engineer
Oaktree Capital Management, L.P.Los Angeles, California
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Job Description
Our Company
Oaktree is a leader among global investment managers specializing in alternative investments, with $203 billion in assets under management as of March 31, 2025. The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, equity, and real estate. The firm has more than 1,200 employees and offices in 23 cities worldwide.
We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.
For additional information please visit our website at www.oaktreecapital.com
Responsibilities
As a Senior Data Engineer within Oaktree's Information Solutions team, you will design, build, and maintain scalable and efficient data pipelines using Azure technologies, ensuring data quality, integrity, and availability for various business needs. You will play a crucial role in integrating data from diverse sources, transforming it into meaningful insights, and enabling data-driven decision-making across the organization.
Responsibilities include:
- Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
- Develop code using ETL and ELT processes to transform data from Bronze to Silver, and Gold layer of maturity of data
- Ensure DevOps for code development and deployment.
- Perform Unit testing, system testing, QA testing and integrated engineering. Automated testing.
- Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Synopse, Microsoft Fabric.
- Developing data models and maintaining data architecture to support data analytics and business intelligence reporting.
- Ensuring data quality and consistency through data cleaning, transformation, and integration processes.
- Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.
Technical Responsibilities:
- Develop and maintain robust data pipelines using Azure Data Factory, orchestrating the flow of data from various sources, including Bloomberg, FactSet, Morningstar, and internal systems.
- Utilize Azure Databricks (or similar Azure tech stack) to perform data transformations, cleansing, and aggregations, preparing data for analysis and reporting purposes.
- Implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.
- Develop and maintain data models for investment data, ensuring alignment with business requirements and supporting efficient data analysis and reporting.
- Optimize data storage and retrieval processes using Azure Data Lake Storage, Azure SQL Database, and Azure Cosmos DB, Azure Synopse, or Azure Fabric selecting the most appropriate storage solutions based on data characteristics and performance needs.
- Collaborate with data scientists and business analysts to understand data requirements and implement data solutions that meet those needs effectively.
- Contribute to the development and maintenance of documentation related to data pipelines, data models, and data quality processes.
Qualifications
- Bachelor’s degree in Computer Science, Finance, or other relevant discipline.
- 10+ years of experience in data and analytics space and 8+ years of experience in job specific work.
- Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions.
- Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark).
- Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data).
- Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams.
Personal Attributes
- Relationship Building; works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers.
- Communication; strong interpersonal and verbal/written communication skills; ability to present complex material.
- Independence & Collaboration; experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns.
- Work Ethic; focus on continual development, performance, accountability, and self-motivation.
- Flexibility & Organization; adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment.
- Intellectual Curiosity; energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies.
- Driving Results; sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through.
- Judgment; makes recommendations and decisions that balance a variety of factors.
Education
Bachelor’s degree in Computer Science, Finance, or other relevant discipline.
Base Salary Range
$200,000 - $225,000
In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education.
Equal Opportunity Employment Policy
Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources.
For positions based in Los Angeles
For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.