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data science engineer

Columbia University

<div><ul><li>Job Type: Officer of Administration</li>
<li>Bargaining Unit:</li>
<li>Regular/Temporary: Regular</li>
<li>End Date if Temporary:</li>
<li>Hours Per Week: 35</li>
<li>Standard Work Schedule: Monday - Friday</li>
<li>Building: PH-20</li>
<li>Salary Range: 160,000 - 180,000</li>
</ul><div><i>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</i></div><br>
<div></div>
<p></p>
<p>Position Summary</p>
<p>
The Department of Biomedical Informatics at Columbia University is seeking a highly motivated data science engineer to support large-scale observational research within the OHDSI (Observational Health Data Sciences and Informatics) network. This role will focus on the design, implementation, and execution of distributed network studies using electronic health record (EHR) and administrative claims data to generate real-world evidence.</p>
<p>
The successful candidate will contribute to characterization, population-level estimation (causal inference), and patient-level prediction analyses across multi-institutional data networks. This position offers a unique opportunity to work at the intersection of biomedical informatics, data science, and clinical research within a leading academic medical center.</p>
<p>
This position is a full-time, two-year position with a possibility of an extension, contingent on available funding.</p>
<p></p>
<p>Responsibilities</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design and implement observational network studies using distributed EHR and administrative claims data</li>
<li>Conduct large-scale characterization, comparative effectiveness and safety estimation, and patient-level prediction analyses</li>
<li>Develop reproducible analytic pipelines using R and SQL in relational database environments</li>
<li>Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses)</li>
<li>Apply machine learning approaches for predictive modeling using high-dimensional healthcare data</li>
<li>Work with standardized data representations, including the OMOP Common Data Model and standardized clinical vocabularies for conditions, drugs, procedures, and measurements</li>
<li>Collaborate with interdisciplinary teams including clinicians, statisticians, data engineers, and informaticians</li>
<li>Contribute to scholarly outputs including manuscripts, presentations, and open-source analytic tools</li>
<li>Support transparent, reproducible, and scalable research practices across distributed data networks</li>
</ul>
<p></p><p>Minimum Qualifications</p>
<p>
Master&rsquo;s degree in biostatistics, public health, epidemiology, informatics, computer science, or related field, and or equivalent in education and experience, with at least 2 years&rsquo; related experience.</p>
<ul>
<li>At least 1 year of relevant prior work experience in the healthcare industry within a health system, a pharmaceutical company, or an insurer</li>
<li>Strong programming experience in R and SQL</li>
<li>Experience working with relational databases and large-scale healthcare datasets</li>
<li>Demonstrated interest in observational research using real-world clinical or claims data</li>
<li>Ability to design, implement, and document reproducible analytic workflows</li>
<li>Strong written and verbal communication skills</li>
</ul>
<p></p><p>Preferred Qualifications</p>
<p>
PhD degree in biostatistics, public health, epidemiology, informatics, computer science, or related field, and/or equivalent and experience in education, with at least 1 year of related work experience.</p>
<p></p>
<p>Other Requirements</p>
<ul>
<li>Familiarity with the OMOP Common Data Model and standardized vocabularies (e.g., ICD, NDC, SNOMED, MedDRA, LOINC, CPT)</li>
<li>Knowledge of causal inference methods for observational studies</li>
<li>Experience with machine learning techniques for patient-level prediction</li>
<li>Prior experience working in distributed or federated data networks</li>
<li>Familiarity with open-source research ecosystems and collaborative scientific communities</li></ul><br>
<p></p>
<p><b>
Work Environment &amp; Opportunities</b></p>
<p>
This position is based at Columbia University&rsquo;s Department of Biomedical Informatics, a world leader in clinical research informatics and observational health data science. The role offers close collaboration with leading researchers, access to large-scale real-world data, and opportunities to contribute to impactful, open, and methodologically rigorous research that informs clinical and policy decision-making. This position is based in New York, NY and has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely.</p><br>
<p></p>
<p></p>
<p>Equal Opportunity Employer / Disability / Veteran</p>
<p>
Columbia University is committed to the hiring of qualified local residents.</p></div>

Data Science Engineer

Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 <br/>
 <br/>
 We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company&mdash;from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business.
 <br/>
 <br/>
 The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You&rsquo;ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling.
 <br/>
 <br/>
 This is a full-time role that can be held from one of our US hubs or remotely in the United States.
 <br/>
 <br/>
 What you&rsquo;ll do at Figma:
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions
  </li>
  <li>
   Build models and analytical frameworks to support product, marketing, platform, or finance initiatives
  </li>
  <li>
   Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously
  </li>
  <li>
   Own complex data projects end-to-end&mdash;from problem scoping to solution delivery
  </li>
  <li>
   Champion data quality, accessibility, and the democratization of data across the organization
  </li>
  <li>
   Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact
   <br/>
   <br/>
  </li>
 </ul>
 We'd love to hear from you if you have:
 <br/>
 <br/>
 <ul>
  <li>
   4+ years of experience in Analytics, Data Science, or a related field
  </li>
  <li>
   Fluency in SQL and proficiency in a scripting language like Python or R
  </li>
  <li>
   Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark)
  </li>
  <li>
   Strong foundation in statistical methods, experimentation, and/or forecasting
  </li>
  <li>
   A track record of working cross-functionally and communicating effectively with both technical and non-technical partners
  </li>
  <li>
   Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  While it&rsquo;s not required, it&rsquo;s an added plus if you also have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments
   <br/>
   <br/>
  </li>
 </ul>
 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 <br/>
 <br/>
 <strong>
  Pay Transparency Disclosure
  <br/>
  <br/>
 </strong>
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 <br/>
 <br/>
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 <br/>
 <br/>
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 <br/>
 <br/>
 Annual Base Salary Range:
 <br/>
 <br/>
 $140,000&mdash;$348,000 USD
 <br/>
 <br/>
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 <strong>
  ,
 </strong>
 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 <br/>
 <br/>
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 <br/>
 <br/>
 Examples of accommodations include but are not limited to:
 <br/>
 <br/>
 <ul>
  <li>
   Holding interviews in an accessible location
  </li>
  <li>
   Enabling closed captioning on video conferencing
  </li>
  <li>
   Ensuring all written communication be compatible with screen readers
  </li>
  <li>
   Changing the mode or format of interviews
   <br/>
   <br/>
  </li>
 </ul>
 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 <br/>
 <br/>
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
</div>


Data Scientist

RSC Solutions

<div>
 <br/>
 <br/>
 <strong>
  TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
  <br/>
 </strong>
 <strong>
  LOCATION: New York City (midtown)
  <br/>
  HYBRID ONSITE 4 DAYS IN THE OFFICE
  <br/>
  NO C2C 3RD PARTY VENDORS!!
  <br/>
  NO RELOCATION!!
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION:
  <br/>
  EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
  <br/>
  <br/>
 </strong>
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 <br/>
 <br/>
 <br/>
 <strong>
  Specific Functions/Activities&nbsp;
 </strong>
 <strong>
  SUMMARY:
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable, reliable AWS-based data architecture
  </li>
  <li>
   <strong>
    Develop and optimize production-grade Python data pipelines
   </strong>
  </li>
  <li>
   <strong>
    Own end-to-end ELT workflows using DBT and Apache Airflow
   </strong>
  </li>
  <li>
   Design, implement, and optimize data models to support analytics and operational reporting
  </li>
  <li>
   Improve platform reliability, observability, and performance across the data stack
  </li>
  <li>
   Contribute to architectural decisions for scalability, security, and cost optimization
  </li>
  <li>
   Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
  </li>
  <li>
   Evaluate and recommend new technologies to evolve MSG's data platform
  </li>
 </ul>
 <strong>
  REQUIRED EXPERIENCE:
 </strong>
 <ul>
  <li>
   <strong>
    4-7 years experience building and maintaining production data pipelines
   </strong>
  </li>
  <li>
   <strong>
    4 years Python development experience (production-grade code)
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with DBT
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with Apache Airflow (or equivalent orchestration tools)
   </strong>
  </li>
  <li>
   Strong SQL and data modeling expertise (dimensional normalized modeling)
  </li>
  <li>
   Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
  </li>
  <li>
   Experience designing scalable data architectures in cloud environments
  </li>
  <li>
   Experience troubleshooting and supporting production systems
  </li>
  <li>
   Strong communication skills and ability to work directly with business stakeholders
  </li>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field
  </li>
 </ul>
 <strong>
  Preferred
 </strong>
 <ul>
  <li>
   Infrastructure as Code (Terraform or CloudFormation)
  </li>
  <li>
   CI/CD and DevOps practices
   <br/>
  </li>
 </ul>
</div>


Senior Data Engineer with DBT and Airflow-Onsite NYC

<div>
 <p>
  <strong>
   Role: Senior Data Analytics Engineer with AI Initiatives (Must)
  </strong>
 </p>
 <p>
  <strong>
   Location: New York/ Remote
  </strong>
 </p>
 <p>
  <strong>
   Experience: 5 - 10 years
  </strong>
 </p>
 <p>
  <strong>
   Duration: Full time
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
 </p>
 <p>
  This is a
  <strong>
   hands-on engineering role
  </strong>
  focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable
   <strong>
    data pipelines and ETL/ELT workflows
   </strong>
   to ingest and transform data from multiple sources
  </li>
  <li>
   Develop and optimize
   <strong>
    batch and near real-time data processing pipelines
   </strong>
   for analytics and reporting
  </li>
  <li>
   Build and maintain
   <strong>
    data warehouse and data lake structures
   </strong>
   to support business intelligence and analytics use cases
  </li>
  <li>
   Implement and maintain
   <strong>
    data models
   </strong>
   that support efficient querying and reporting
  </li>
  <li>
   Improve performance and scalability of data systems through
   <strong>
    query optimization, indexing, and partitioning strategies
   </strong>
  </li>
  <li>
   Implement
   <strong>
    data quality checks, monitoring, and logging
   </strong>
   to ensure reliability of data pipelines
  </li>
  <li>
   Exposure to
   <strong>
    AI initiatives
   </strong>
   and experience
   <strong>
    building data pipelines
   </strong>
   supporting
   <strong>
    AI workflows
   </strong>
  </li>
  <li>
   Work with data architects and engineering teams to implement
   <strong>
    scalable data platform designs
   </strong>
  </li>
  <li>
   Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
  </li>
  <li>
   Maintain documentation for data pipelines, data models, and data workflows
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5 - 10 years of experience
   </strong>
   in Data Engineering and GenAI and Data Scientist and AI Engineer
  </li>
  <li>
   Strong experience with
   <strong>
    SQL and Python
   </strong>
   for data processing and transformation
  </li>
  <li>
   Experience building and maintaining
   <strong>
    ETL/ELT pipelines
   </strong>
  </li>
  <li>
   Solid understanding of
   <strong>
    data warehousing concepts and dimensional data modeling
   </strong>
  </li>
  <li>
   Experience working with
   <strong>
    cloud data platforms or modern data infrastructure
   </strong>
  </li>
  <li>
   Familiarity with
   <strong>
    workflow orchestration tools
   </strong>
   such as
   <strong>
    Airflow
   </strong>
   or similar
  </li>
  <li>
   Understanding of
   <strong>
    API-based data ingestion and data integration patterns
   </strong>
  </li>
  <li>
   Strong problem-solving and collaboration skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <p>
  Bachelor's or master's degree in computer science
  <strong>
   , Engineering, Information Systems, or a related field
  </strong>
  , or equivalent practical experience.
 </p>
</div>


AI Data Engineer

Openkyber

<div><b>Title: Senior Data Analyst Location: Irving Place, New York, NY(Hybrid) Job Type: Contract Interview:- F2F Interview Job Description:</b>
<p>A Bachelor's Degree in Computer Science or related field with at least 3-5 years' work experience in an enterprise IT environment. Advanced SQL Azure Databricks Data Engineer Associate Certificate full-stack Python Generative AI Knowledge of statistical modeling and machine learning concepts Machine Learning Operations Power BI Dashboards python Pyspark programming Nice To Have JOB SUMMARY Data Analyst w/ ML Experience JOB DESCRIPTION Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.</p>
<p>Required Skills/Experience (Skills that the successful candidate(s) must have) Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics , or related field. Strong experience in machine learning algorithms , predictive modeling, and data mining. Proficiency in Python (required) for data science workloads. Strong SQL (required) knowledge and experience with relational databases. Proficiency in PySpark(required) for data science workloads. Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices. Experience with Azure Databricks , Oracle , and modern data science libraries (e.g., scikit-learn, pandas, NumPy). Experience with GenAI and large language models. Ability to interpret complex datasets and produce actionable insights. Must know how to analyze the root cause of dashboard errors. Have experience in ML Ops and have strong coding background. Have experience with Natural Language Processing (NLP). Knowledge or experience with A/B Testing. Working knowledge of designing, training, and implementing machine learning models. Familiarity with cloud-based infrastructure Excellent communication and problem-solving skills. 7 or more years of experience in data science and machine learning engineering.</p>
<p>Additional Skills (Skills that are a plus, but not required) Knowledge of statistical methods and experimental design.</p>
<p>Responsibilities Advanced Analytics &amp; Machine Learning Design, develop, and optimize machine learning models (forecasting, classification, clustering). Apply data mining techniques to uncover patterns and insights in large datasets. Perform feature engineering, model validation, and performance tuning. Explore and deploy modern AI and ML approaches to enhance automation and analytics.</p>
<p>Data Preparation &amp; Quality Prepare structured and unstructured data for modeling and advanced analysis. Develop scripts and tools for data cleansing, validation, and enrichment. Collaborate with Data Engineering to maintain efficient data pipelines. Identify data quality issues and propose remediation.</p>
<p>Analytics, Insights &amp; Reporting Conduct deep-dive analyses to identify trends and improvement opportunities. Communicate complex findings in clear, concise ways to technical and non-technical stakeholders. Support the development of dashboards, metrics, and analytical solutions.</p>
<p>Cross-Team Collaboration Work with architects, engineers, and analysts to define analytical requirements. Contribute to conceptual data model design and workflow optimization. Promote best practices in machine learning, analytics, and data governance.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Cognos Business Intelligence Analyst

Bloomberg

<div><div><div><div><div><div>Applied Machine Learning Engineer - Media Search and Recommendation
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10049313
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><h3 class="jobSectionHeader">Our Team<b>
</b></h3>
<div>Bloomberg Media empowers global business leaders with breaking news, expert opinion and proprietary data distributed with global reach. With millions of unique visitors each month, our flagship website bloomberg.com is the go-to destination for those looking to stay ahead of the curve. As one of the top 10 most visited financial and news sites on the web, we take pride in delivering top-quality content that our audience can trust.</div>
<div>
The Search and Personalization team owns the core discovery experiences on Bloomberg.com and the Bloomberg mobile app. We are responsible for how users search for, discover, and engage with content across a global audience, with a strong focus on personalization and recommendations. By powering Bloomberg&rsquo;s discovery hub, we play a critical role in helping users find the content that matters most to them, ensuring experiences are relevant, timely, and high quality. Our systems operate at web scale and sit at the intersection of backend services, data pipelines, and user-facing experiences. We are looking for a dedicated and experienced Machine Learning engineer to join the team. The ideal candidate will have a passion for Machine Learning, building distributed web scale systems and partnering with a variety of stakeholders within our expansive organization.</div>
<h3 class="jobSectionHeader"><b>
</b>What's in it for you<b>
</b></h3>
<p>As a senior engineer on the Search and Personalization team, you will play a key role in expanding Bloomberg Media&rsquo;s investment in personalization. You&rsquo;ll work closely with product managers, data scientists, and machine learning engineers to design and build systems that power personalized discovery experiences for millions of users.</p>
<p>
You&rsquo;ll have ownership over impactful projects, from shaping technical direction to delivering production systems. The role offers a mix of backend, data, and potentially some frontend work, giving you the opportunity to influence the personalization models that deliver results to users. You&rsquo;ll be working on systems that are central to Bloomberg Media&rsquo;s growth and directly visible to a global audience.</p>
<h3 class="jobSectionHeader"><b>
</b><b>We&rsquo;ll trust you to</b><b>
</b></h3>
<ul><li> Lead the design and delivery of personalization and recommendation systems that power discovery across Bloomberg.com and mobile platforms.</li></ul>
<ul><li> Build and maintain data pipelines that support personalization, experimentation, and model-driven product experiences.</li></ul>
<ul><li> Design, develop, and evolve backend services and APIs that deliver personalized content at scale with low latency.</li></ul>
<ul><li> Partner closely with the data science team to productionize models and enable rapid experimentation.</li></ul>
<ul><li> Collaborate across the stack, including with frontend engineers, to deliver cohesive and high-quality user experiences.</li></ul>
<ul><li> Make architectural decisions, drive technical discussions, and help set technical direction for the personalization platform.</li></ul>
<ul><li> Mentor other engineers and raise the overall technical bar of the team.</li></ul><br>
<br>
<h3 class="jobSectionHeader"><b>You need to have</b><b>
</b></h3>
<ul><li> 5+ years of industry experience in an Object Oriented Programming language, preferably Python or Java</li></ul>
<ul><li> 5+ years of industry experience working with large data sets, performing machine learning model experimentation, implementation and deployment.</li></ul>
<ul><li> A Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.</li></ul>
<h3 class="jobSectionHeader"><b>
</b><b>We&rsquo;d love to see</b><b>
</b></h3>
<ul><li> Exposure building and developing a content recommendation system, focusing on recommendation algorithms and machine learning capabilities</li></ul>
<ul><li> Familiarity building user behavioral models to predict users likelihood to perform high value actions like propensity to subscribe or churn</li></ul>
<ul><li> Experience with end-to-end machine learning projects, including data analysis, feature engineering, model selection, hyper-parameter tuning, model deployment and ongoing performance monitoring.</li></ul>
<h3 class="jobSectionHeader"><b>
</b><b>&middot;</b> <b>Hands-on expertise with big data systems and distributed data processing technologies such as Spark</b><b>
</b></h3><h3 class="jobSectionHeader"><b>&middot;</b> <b>Proven track record building and maintaining data pipelines that power customer-facing product features.</b><b>
</b></h3><h3 class="jobSectionHeader"><b>&middot;</b> <b>Demonstrated leadership delivering machine learning projects from inception through delivery.</b><b>
</b></h3><h3 class="jobSectionHeader"><b>&middot;</b> <b>Practical expertise with public cloud platforms such as AWS.</b><b>
</b></h3><h3 class="jobSectionHeader"><b>&middot;</b> <b>Proven ability to operate and evolve web-scale distributed systems in production.</b><b>
</b></h3>
</div></div><p></p><div><div><div>Salary Range = 165000 - 260000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
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We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Applied Machine Learning Engineer - Media Search and Recommendation

Data Engineer, Product Analytics

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