Syrinx Consulting Boston, MA 18-month contract, likely extensions Junior Data Scientist Qualifications:
Bachelors degree or higher in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Computer Science, Operations Research, Engineering, Finance, or Economics.
5+ years of experience in Financial Services, specifically within cash management, payments, small business, Commercial, or Consumer lending.
5+ years of experience solving business problems leveraging data and analytics.
5+ years of experience using SQL, R, Python, MatLab, or similar data-mining and analytics applications.
Skilled in Python, experience with Pandas, Scikit-learn.
Experience in machine learning techniques, such as Linear and Logistic Regression, Bayesian models, Decision Trees, Random Forests, Neural Networks, Clustering, Time Series Analysis, Forecasting, Survival / Duration Analysis, or similar.
Experience with agile development practices and Git version control.
Experience with one or more of the DNN frameworks like TensorFlow, PyTorch, etc.
Experience with Spark, SQL, Graph stores, or NoSQL stores.
Domain expertise in financial services, banking, real-time gross settlement and payment related systems
Capable of completing descriptive, diagnostic, exploratory, predictive, and prescriptive analytical exercises.
Proven ability to give meaning, insight, and purpose to information to drive business decisions.
Capable of managing change through typical strategy development lifecycle stages such as
Ideation, Solutioning, Execution, and Go-To Market.
Proficient in Excel, Word, and PowerPoint.
Excellent communication and presentation skills, problem-solving, time-management, collaboration, and interpersonal skills.
Proven ability to simply explain complex information to both technical and non-technical audiences.
Ability to work autonomously as well as in a team setting.
Aptitude and willingness to roll-up the sleeves and get involved in the details.
Highly curious with the desire to go deep beneath the surface to solve problems.
Must have good business judgment with demonstrated ability to think creatively and strategically.
Data science certification or AWS machine learning certification is a plus
This position requires a solution-oriented candidate with a combination of deep business acumen, expert knowledge of statistics and algorithm development, and an analytical mindset.
The candidate must have the ability to work with diverse stakeholder groups to solve business problems and provide data solutions that are organized and simple to understand.
Become part of this unique opportunity to make history defining the evolution of cloud computing.
Understands and improves how data is sourced from different sources and ingested with the data integration solution
Ensures that enterprise architects are addressing all data requirements in their respective projects and solutions
Perform data manipulation, business analysis, and quantitative modeling to research and design automated solutions
Closely collaborate with agile delivery, business integration teams & product owners to build data sets based on feature delivery
Design test cases for systems used for a variety of analytical, transaction processing to ensure the business needs are met and analytics are correctly implemented.
Analyze application logs, build logs, automation execution logs and defects data to build patterns and predictions using appropriate ML models
Provide data analytical expertise and guidance to key stakeholders.
Identify trends and explain anomalies using data science at scale
Develop data structures and pipelines as necessary to support analytical efforts
Work closely with business integration, performance engineering and product team to build forecast models
Participate in development/system/database operations as needed (DevOps, sysops, and DBA work)
Document parts of the current and future processing framework.
Build real-time dashboards with help of data visualization tools AWS Quicksight, Tableau or Kibana.
Use one or more analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction that has multiple variables affecting potential outcomes.
Perform ad hoc analysis as needed and assist managers of specific functions with analytical, valuation, or pricing projects.
Collaborate with teams planning or structuring transactions to assist in credit analysis and pricing.
VIEW JOBS10/17/2021 12:00:00 AM2022-01-15T00:00<p><strong>Senior Data Scientist</strong></p>
<p><strong>Remote for Covid-19 (some on-site in Boston office post Covid)</strong></p>
<p><strong>This role is with a Syrinx Digital Streaming Partner</strong></p>
<p><strong>12+ Month Contract with Possible Extension (Client will convert full time, if desired)</strong></p>
<p><em>U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. No Corp to Corp. </em></p>
<p><em>Ideal fit is someone with a video/audio processing background, but not required.</em></p>
<li style="padding: 0; margin: 0;">Demonstrated understanding of market demand and supply interactions. Working knowledge of forecasting techniques, such as surveys, trend analysis, econometric models and machine learning algorithms.</li>
<li style="padding: 0; margin: 0;">Intermediate to advanced skills in programming languages (particularly Python and SQL) and ability to apply them for data acquisition, preprocessing, modeling and monitoring.</li>
<li style="padding: 0; margin: 0;">Familiarity with the wide range of data science/analytics software tools (e.g. Jupyter Notebook, SQL consoles, Hadoop, Spark) and cloud computing platforms (e.g. Amazon Web Services).</li>
<li style="padding: 0; margin: 0;">5+ years of experience solving business problems leveraging data and analytics.</li>
<li style="padding: 0; margin: 0;">5+ years of experience using SQL, R, Python, MatLab, or similar data-mining and analytics applications. Skilled in Python, experience with Pandas, Scikit-learn.</li>
<li style="padding: 0; margin: 0;">Experience in machine learning techniques, such as Linear and Logistic Regression, Bayesian models, Decision Trees, Random Forests, Neural Networks, Clustering, Time Series Analysis, Forecasting, Survival / Duration Analysis, or similar. Experience with agile development practices and Git version control.</li>
<li style="padding: 0; margin: 0;">Experience with one or more of the DNN frameworks like TensorFlow, PyTorch, etc., Experience with Spark, SQL, Graph stores, or NoSQL stores.</li>
<li style="padding: 0; margin: 0;">Domain expertise in financial services, banking, real-time gross settlement and payment related systems</li>
<li style="padding: 0; margin: 0;">Data science certification or AWS machine learning certification is a plus</li>
VIEW JOBS10/1/2021 12:00:00 AM2021-12-30T00:00Zeta is looking for a Data Scientist with great talent and potential to join us!
We are seeking an experienced, energetic, and self-starting Data Scientist to join the Global Data Science and Analytics team.
* Data ETL: Help create ETL pipelines in Snowflake, MySQL, Hive
* ML modeling, optimization and automation: Design, build, and maintain the following big-data pipelines in a distributed environment for maximum productivity and scalability:
* Data engineering
* ML development, evaluation and deployment/scoring
* Insight generation/recommendation engines
* Marketing automation: Use technologies like SAS, Python, Spark, Scala for marketing automation
* Monitoring and reporting: Generate client-facing marketing campaign ROI reports with a critical focus on data integrity and consistency in reporting
* Visualization: Use technologies like D3.js, HighCharts, Tableau, and/or other web development techniques to present visual representation of report outputs
* Strong hands-on programming/scripting experience in Python, Spark, R, Snowflake. PySpark knowledge is strongly preferred
* Good knowledge of ML algorithms: Supervised learning and Advanced ML techniques and statistics methods such as Random Forest, GBM, Generalized Regression, Bagging/Boosting, Neural Networks and similar algorithms
* Expertise in AWS environment: EC2, EMR, S3
* Hands-on know-how of Unix command line operations and shell scripting.
* Web development, and/or visualization experience.
* Exceptional attention-to-detail with the ability to meet aggressive deadlines. We move at a fast pace and generally have 3-5 projects going at any one time.
* MSc/MS in quantitative disciplines like Computer Science, Decision Science, Data Science, Business Analytics, Statistics (we will consider BSc with at-least 4 years of similar experience)
Diversity, Equity and Inclusion at Zeta
We are committed to building diverse teams with different identities, backgrounds and perspectives.
We believe in providing a forum to connect at Zeta, to learn and celebrate differences. Our mission is to ensure we have an environment that enables a deep level of trust and belonging, so everyone feels invited to bring their whole selves to work, and to increase both diversity at Zeta as well as in the technology industry.
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation or gender identity or expression.
About Zeta Global
Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry's 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers 'end to end' marketing programs for some of the world's leading brands. With expertise encompassing all digital marketing channels - Email, Display, Social, Search and Mobile - Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
VIEW JOBS10/1/2021 12:00:00 AM2021-12-30T00:00<p><strong>We’d love to hear from you if you are looking for:</strong></p><ul> <li>Start-up energy working with a brilliant and passionate team</li> <li>$300 billion market opportunity</li> <li>Exponential growth (6 straight quarters of 50-100%+ quarter over quarter growth)</li> <li>Open communication environment based on high integrity values</li> <li>Rockstar teammates. You will be working with a strong team with prior work experience at Amazon, Microsoft, Alibaba, Nivida, Huawei, etc.</li> </ul> <p><strong>About jerry.ai:</strong></p> <p>Jerry.ai is building the first financial platform for your car that helps people optimize the cost and experience of owning a car (making ownership easy & affordable). We have started with helping people optimize the cost of car insurance and our vision is to help people in every aspect of car ownership. Since our product launch, we have been growing really fast for the past 18 months and our users love the product (rating 4.5 in the app store).</p> <p>Jerry.ai is founded by serial entrepreneurs who previously built and scaled YourMechanic (“Uber for car repair,” the nation’s largest on-demand car repair company). We are based in Silicon Valley and have offices in Palo Alto, Toronto, and Buffalo. We are backed by Y-combinator, SV Angel, Funders Club, and many other prominent Silicon Valley Investors.</p> <p><strong>A few examples of the projects that we are working on:</strong></p><ul> <li>Create a smart prediction engine for customer's insurance coverage needs</li> <li>Build predictive models on customer purchase behavior based on a large data set</li> <li>Use telematics tracking to build customer driving risk profile</li> </ul><p><strong>Responsibilities:</strong></p><ul> <li>Managing our ETL pipelines</li> <li>Business Intelligence:<ul> <li>Determine and procure tooling/platform</li> <li>BI request workflow (business need -> report)</li> <li>Version control of queries/dashboards</li> <li>Determine and maintain correctness of data (data quality)</li> </ul> </li> <li>Machine Learning:<ul> <li>Select and deploy a platform for ML</li> <li>Determine architecture for Jerry interacting with and utilizing the ML output in business logic (i.e. APIs, etc)</li> <li>Take MVP model built by data scientist and ‘productize’ it (i.e. implement/integrate it in production system)</li> <li>Reports on the performance of deployed ML models</li> </ul> </li> </ul><p><strong>Requirements:</strong></p><ul> <li>B.S. or M.S. in a quantitative field required. PhD in similar fields a plus.</li> <li>Proficient in SQL, especially with Postgres dialect.</li> <li>Expertise in at least one programming language for implementing ML models and corresponding client APIs. Familiarity with NodeJS (our product dev language) is a plus.</li> <li>Experience in packaging and deploying ML code in production environments. Experience with Docker required. Experience with Kubernetes is a plus.</li> <li>Experience with BI software (preferably Metabase, Qlikview or Tableau).</li> <li>Experience with deploying and maintaining data infrastructure in the cloud (experience with AWS Lambda -> AWS Kinesis -> AWS Redshift -> Metabase BI & AWS RDS preferred)</li> <li>Comfortable working directly with data analytics to bridge business requirements with data engineering</li> </ul>JerryBostonMA
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