Data Science Course Mentor
**Who We Are
**Thinkful is a new type of school that brings high-growth tech careers to ambitious people everywhere. The company provides 1-on-1 learning through its network of industry experts, hiring partners, and online platform to deliver a structured and flexible education. Thinkful offers programs in web development and data science, with in-person communities in up-and-coming tech hubs around the U.S.
**About the Role
**Thinkful’s Flexible Data Science course pairs personalized mentorship with a curriculum tailored to launch aspiring data scientists’ careers. Join us in helping motivated learners get to those aha! moments. As a Flexible Data Science Course Mentor, you will help your student(s) master everything from fundamental statistics to building a machine learning model in their domain of choice.
**Apply on our website:
SURGE is looking for smart, self-motivated, experienced, senior engineers who enjoy the freedom of telecommuting and flexible schedules, on a variety of software development projects.
Data Engineer Openings requiring ETL and Hadoop
Must be located in the US or Canada to be considered for this role. Sorry, No Visas.
For immediate consideration, email resume with tech stack under each job and include your cell phone number and start date: [email protected]
If you join us, what will you do?
Write, test, and maintain computer software that will double our capacity to recommend ads each year for the next three years. Also to provide technical specifications and unit test cases for the software.
In order to be great at your job…
A faster learner; have great analytical skills; relentless and persistence in accomplishing goals; enthusiastic with an infectious personality.
Efficiently; with flexibility; proactively; with attention to detail; to high standards.
Emphasize honesty and integrity; require teamwork; have open communication; follow-through on commitment; stay calm under pressure.
Advanced Scala skills (at least 5 years of experience); computer science knowledge (education or actual work experience.); Linux experience (at least 5 years); relational database skills; no-SQL database experience; Hadoop skills (at least 5 years); and experience with Kafka, Storm, or Kinesis (at least 5 years in one of them).
This is extra, but if you have it, it will make us happy
Who We Are
We are a digital monetization startup ecosystem that is always open to new talent
Why We Are
Personalization is key and we at PowerInbox believe that email is not meant to be stationary and static, but relevant and filled with dynamic content and advertisements.
What We Are
We at PowerInbox boost your revenue and brand engagement through real-time advertising, and native ad displays.
If interested please send your resume to [email protected]
About the role
We are looking for an experienced Data Scientist (Ad-Tech) to join us and be the foundation of our Data Science team as we continue to grow and scale our application.
We are looking for someone confident with the following background and skills
We know that’s already enough but if you go the “extra mile” it will surely make you stand out
Up for a challenge?
If you're inspired by innovation, hard work and a passion for data, this may be the ideal opportunity to leverage your background in Big Data and Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of global and enterprise clients.
At phData, our proven success has skyrocketed the demand for our services, resulting in quality growth at our company headquarters conveniently located in Downtown Minneapolis and expanding throughout the US. Notably we've also been voted Best Company to Work For in Minneapolis for the last 2 years.
As the world’s largest pure-play Big Data services firm, our team includes Apache committers, Spark experts and the most knowledgeable Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Hadoop services and our commitment to excellence.
In addition to a phenomenal growth and learning opportunity, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid Cloudera certifications - in addition to generous PTO and employee equity.
As a Solution Architect on our Big Data Consulting Team, your responsibilities will include:
Design, develop, and innovative Hadoop solutions; partner with our internal Infrastructure Architects and Data Engineers to build creative solutions to tough big data problems.
Determine the technical project road map, select the best tools, assign tasks and priorities, and assume general project management oversight for performance, data integration, ecosystem integration, and security of big data solutions. Mentor and coach Developers and Data Engineers. Provide guidance with project creation, application structure, automation, code style, testing, and code reviews
Work across a broad range of technologies – from infrastructure to applications – to ensure the ideal Hadoop solution is implemented and optimized
Integrate data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures (AWS); determine new and existing data sources
Design and implement streaming, data lake, and analytics big data solutions
Create and direct testing strategies including unit, integration, and full end-to-end tests of data pipelines
Select the right storage solution for a project - comparing Kudu, HBase, HDFS, and relational databases based on their strengths
Utilize ETL processes to build data repositories; integrate data into Hadoop data lake using Sqoop (batch ingest), Kafka (streaming), Spark, Hive or Impala (transformation)
Partner with our Managed Services team to design and install on prem or cloud based infrastructure including networking, virtual machines, containers, and software
Determine and select best tools to ensure optimized data performance; perform Data Analysis utilizing Spark, Hive, and Impala
Local Candidates work between client site and office (Minneapolis). Remote US must be willing to travel 20% for training and project kick-off.
Technical Leadership Qualifications
5+ years previous experience as a Software Engineer, Data Engineer or Data Analytics
Expertise in core Hadoop technologies including HDFS, Hive and YARN.
Deep experience in one or more ecosystem products/languages such as HBase, Spark, Impala, Solr, Kudu, etc
Expert programming experience in Java, Scala, or other statically typed programming language
Ability to learn new technologies in a quickly changing field
Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
Excellent communication skills including proven experience working with key stakeholders and customers
Ability to translate “big picture” business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access and consumption, as well as custom analytics
Experience scoping activities on large scale, complex technology infrastructure projects
Customer relationship management including project escalations, and participating in executive steering meetings
Coaching and mentoring data or software engineers
You will have the opportunity to apply your knowledge of machine learning, statistics and your analytical skills to develop models detecting fraud patterns. You will ideate, test and deploy advanced predictive signals to improve fraud detection performance. You will collaborate with other data scientists and engineers to build data pipelines, do feature prototyping, and write production-grade code to implement analytical algorithms and flexible strategies.
Specific job duties may include:
Writing or modifying data pipelines to process and mine historical data
Processing and analyzing data collected with research prototypes
Ideation, prototyping, measuring predictive features transforming data into actionable information
Prototyping and validating models and algorithms to boost model performance
Writing production code (python, SQL, etc.) to deliver analytics content
Required Skills and Experience:
An advanced degree (M.S. or Ph.D) in computer science, applied mathematics, or a comparable analytical field from an accredited institution
Experience in analytical team targeting fraud/risk in online commerce, banking and finances
Expert proficiency with an advanced data analysis toolkit (such as python/matplotlib, R, ROOT, etc.)
Superior SQL skills with proven experience in relational databases and data warehouses
Demonstrated fluency with python and at least one other programming language
Experience with NoSQL databases and unstructured data
Experience setting up and using distributed/parallel processing frameworks such as Spark, Hadoop, Storm etc. is a big plus
Demonstrated ability to develop high-quality code adhering to industry best practices (i.e., code review, unit tests, Gitflow)
Possession of core analytics skills and expertise (as demonstrated by prior work):
Knowledge of applied statistics and key concepts underlying statistical inference and inductive reasoning
Experience designing experiments and collecting data
Experience developing models based on sensor data, and an understanding of error propagation and the limitations of data subject to measurement uncertainties
Demonstrable expertise in one or more areas: applied mathematics, predictive analytics, expert systems, ANNs/deep learning, graph theory, Markov Chain Monte Carlo, geo-informatics (GIS), language processing, risk analysis
Work/project history reflective of a self-motivated professional who excels when given open-ended problems and broadly-defined goals, having an innate desire to discover the patterns and relationships in data that can be leveraged to provide business value
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.
US ONLY - REMOTE
We are looking for a self-driven software engineer to take ownership of existing software products for performance and feature upgrades as well as general maintenance. You will also contribute as a team member to testing, QA and documentation across our product line. Additional opportunities will arise to design and develop new software products. You will join a small agile team of motivated individuals who welcome challenges, adapt quickly, strive to acquire new knowledge, learn new technologies, accept new responsibilities, and work well individually, as a team, and with other teams within the organization.
TargetSmart employees communicate primarily through chat, weekly calls, and the occasional email. Working remotely is embraced (US only). We care deeply about each other, our technology, and our mission.
Bachelor’s degree in Computer Science or equivalent
3+ years experience in software engineering
Strong knowledge of Python
US citizen or green card holder
Desired Technical Experience
Python application development
AWS: Infrastructure and workflow development
SQL, NoSQL, Hadoop ecosystem database (RDS, S3 Data Lake: Athena, Hive, et al., MongoDB)
Git, BitBucket, Jira, Slack
**Desired Domain Experience
“Big Data” in the context of large voter/marketing lists
Data-driven targeted marketing solutions
Digital advertising platforms
Democratic/Progressive political campaign technology ecosystem
Competitive salary and annual bonus based on company performance
Excellent health and dental plans
Monthly home office stipend
Generous PTO and flexible sick-time policy
Flight and hotel to annual company and team meetings
Founded in 2006, TargetSmart is a for-profit business in the Democratic and progressive political data and technology ecosystem. TargetSmart’s expert team of data, political, direct marketing, and technical professionals wakes up every day with one objective: to help our clients win with data.
TargetSmart is a leading provider of political data and technology that enables campaigns and organizations to successfully communicate with large audiences, personalize outreach, and create lasting relationships. Our superior politically-focused, consultative approach combines consumer data, databases, data integration and consulting solutions for personalized multichannel marketing strategies. TargetSmart leverages over 25 years of experience in data management to deliver high-performance, reliable data products and solutions.