Job Openings – USA

NorthBay is seeking technically savvy Big Data Solutions Architect to implement solutions for our customers working with your offshore engineering team. In this role, you will collaborate with NorthBay customers, sometimes working onsite, understand customer requirements and needs, translate these into specifications to develop the solutions from, drive work with your offshore engineering teams, and deliver solutions and results to the customer. This includes assessing customer needs, re-engineering business intelligence processes, designing and developing data models, and sharing your expertise throughout the deployment process.

Responsibilities Include:

• Assess, document and translate goals, objectives, problem statements, etc. to our offshore team and onshore management
• Interface with Client project sponsors to gather, assess and interpret client needs and requirements
• Attend on-site customer meetings as needed
• Assess use cases for various teams within the client company.
• Develop a data model around stated use cases to capture client’s KPIs and data transformations.
• Advising on database performance, altering the ETL process, providing SQL transformations, discussing API integration, and rethinking the approach of certain KPIs.
• Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
• Document and communicate product feedback in order to improve user experience.

Qualifications:

• Account management experience
• Solid writing skills
• 5+ years of software implementation/services experience, preferably in the Data Analytics space.
• A passion for exploring data and extracting valuable insights.
• Proven analytical, problem solving, and troubleshooting expertise.
• Proficiency in SQL, preferably across a number of dialects (we commonly write MySQL, PostgreSQL, Redshift, SQL Server, and Oracle).
• Exposure to developer tools/workflow (e.g., git/github, *nix, SSH).
• Experience troubleshooting operations issues.
• Optimizing database/query performance.
• Experience with AWS ecosystem (EC2, S3, RDS, Redshift).
• Experience with business intelligence tools with a physical model (e.g., MicroStrategy, Business Objects, Cognos).
• Experience with data warehousing.
• Exposure to NoSQL-based, SQL-like technologies (e.g., Hive, Pig, Spark SQL/Shark, Impala, BigQuery).
• Ability to learn and assimilate technical information quickly.
• Ability to travel up to 10%.

NorthBay is seeking technically savvy Cloud Engineer (Big Data) to implement solutions for our customers working with your offshore engineering team. In this role, you will collaborate with NorthBay customers, sometimes working onsite, understand customer requirements and needs, translate these into specifications to develop the solutions from, drive work with your offshore engineering teams, and deliver solutions and results to the customer. This includes assessing customer needs, re-engineering business intelligence processes, designing and developing data models, and sharing your expertise throughout the deployment process.

Responsibilities include:

• Assess, document and translate goals, objectives, problem statements, etc. to our offshore team and onshore management
• Interface with Client project sponsors to gather, assess and interpret client needs and requirements
• Attend on-site customer meetings as needed
• Assess use cases for various teams within the client company.
• Develop a data model around stated use cases to capture client’s KPIs and data transformations.
• Advising on database performance, altering the ETL process, providing SQL transformations, discussing API integration, and rethinking the approach of certain KPIs.
• Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
• Document and communicate product feedback in order to improve user experience.

Qualifications:

• Bachelor’s Degree in Computer Science or Equivalent
• Account management experience
• Solid writing skills
• 5+ years of software implementation/services experience, preferably in the Data Analytics space.
• A passion for exploring data and extracting valuable insights.
• Proven analytical, problem solving, and troubleshooting expertise.
• Proficiency in SQL, preferably across a number of dialects (we commonly write MySQL, PostgreSQL, Redshift, SQL Server, and Oracle).
• Exposure to developer tools/workflow (e.g., git/github, *nix, SSH).
• Experience troubleshooting operations issues.
• Optimizing database/query performance.
• Experience with AWS ecosystem (EC2, S3, RDS, Redshift).
• Experience with business intelligence tools with a physical model (e.g., MicroStrategy, Business Objects, Cognos).
• Experience with data warehousing.
• Exposure to NoSQL-based, SQL-like technologies (e.g., Hive, Pig, Spark SQL/Shark, Impala, BigQuery).
• Ability to learn and assimilate technical information quickly.
• Ability to travel up to 10%.

Education and Experience

• Bachelor’s Degree in Computer Science or Equivalent
• Minimum three years of experience

About Us

NorthBay Solutions is recognized as a premier provider of Big Data Outsourcing services. We are an AWS advanced consulting partner certified in big data, public sector, mobile, machine learning, DevOps and education competencies. We craft big data, mobile & web solutions for premier brands and working with some of the most progressive companies in the world and creating profoundly impactful web and mobile solutions for them. We need rock stars that love creativity, have a passion for excellence, and strive to be the best.

We are looking for a Data Scientist to help our clients discover the information hidden in vast amounts of their data, and help them make smarter decisions to deliver even better products and services. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems for our clients.

Key Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending client’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Build quick Proof of Concepts (POC) and project ownership around projects that can demonstrate utilization, value and lead to scalable solutions
• Stay up-to-date on developments in the field and propose long term capability buildup
• Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of rigor and discipline
• Build data pipelines to aid analysis and/or reporting
• Communicate findings in an intuitive and visually compelling way

Position Requirements

• Bachelors and four (4) years or more experience; Masters and two (2) years or more experience; PhD and one (1) year or more experience.
• Demonstrates ability to extract meaning from and interpret data using a variety of tools and methods from statistics and machine learning
• Determines methods of statistical analysis and applies statistical techniques to determine measures of central tendency, correlation, sample size, significance of differences, etc.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, etc.
• Experience (can execute data ingestion to insight) in programmatic language such as SQL, R, Python (Pandas/Scipy/Numpy)
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, Tensorflow, etc.
• Understanding of cloud technologies, familiarity with AWS services a huge plus
• Conceptual understanding of NoSQL technologies including Hadoop, the map-reduce algorithm, HDFS, Hive, Impala, Pig, Accumulo, Apache ElasticSearch and data flow automation techniques such as Apache Camel or Nifi. AWS EMR, Spark, NiFi, Jupyter Notebooks a huge plus
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase is a plusGood applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience participating in Agile/SCRUM projects
• Experience of working in a client support role

Education and Experience

• Bachelor’s degree or equivalent experience
• Masters or Ph.D. in data science highly recommended

Language and Communication Skills

• Ability to effectively express ideas and thoughts verbally and in written form
• Exhibits good listening skills and comprehension
• Effectively keeps others adequately informed by presenting information to top management, public groups, and/or boards of directors using the appropriate communication methodsExcellent written and spoken communication skills
• English required

Personal Requirements

• Customer service minded
• Good follow-up on action items and getting it done attitude
• Ability to navigate complex organizations and situations towards achievement of goals
• Solutions oriented with good problem solving skills
• Professional approach
• Results driven
• Attention to detail
• Proactive and take initiative
• Team player
• Self-motivated
• Hands on approach
• Flexible approach
• Ability to working towards strict deadlines

Would you like to be part of a team focused on increasing helping customers to in a once in a generation shift to the two fastest growing segments of the market Cloud based Big Data and Enterprise Mobile Solutions. Do you have the business savvy and the technical background necessary to help grow NorthBay as a key technology provider to the Enterprise?

As an Enterprise Account Executive for NorthBay you will have the exciting opportunity to positively impact the business model of your customer in a new way. Your responsibilities will include finding opportunities to help customers improve how to deliver business value, drive revenue, and charting a path to adoption. The ideal candidate will possess both a sales and technical background that enables them to drive an engagement at the CXO level as well as with software developers and IT architects. He/she should also be a self-starter who is prepared to develop and execute against a territory coverage plan and consistently deliver on revenue targets as well as contribute to the achievement of our strategic goals in this market segment.

NOTE: The position is based in Chicago, IL or Columbus OH.

Basic Qualifications

• 10+ years of technology related sales or business development experience in key verticals including retail, healthcare, financial services, media/publishing
• Direct field experience in working with enterprise accounts.
• Experience selling professional services (not a software product) in the Cloud Computing space
• AWS familiarity/expertise a strong plus
• Extensive customer network.
• BA/BS degree required.

Roles and Responsibilities

• Drive revenue and market share in a defined territory and within the industry vertical
• Meet or exceed quarterly revenue targets.
• Develop and execute a comprehensive account/territory plan.
• Create & articulate compelling value propositions around NorthBay specific Services at the CxO level.
• Accelerate customer adoption.
• Maintain a robust sales pipeline..
• Develop long-term strategic relationships with key accounts.
• Ensure customer satisfaction.
• Expect moderate travel, 10 – 15%

NorthBay is seeking technically savvy Senior Big Data Engineer to implement solutions for our customers working with your offshore engineering team. In this role, you will collaborate with NorthBay customers, sometimes working onsite, understand customer requirements and needs, translate these into specifications to develop the solutions from, drive work with your offshore engineering teams, and deliver solutions and results to the customer. This includes assessing customer needs, re-engineering business intelligence processes, designing and developing data models, and sharing your expertise throughout the deployment process.

Responsibilities include:

• Assess, document and translate goals, objectives, problem statements, etc. to our offshore team and onshore management
• Interface with Client project sponsors to gather, assess and interpret client needs and requirements
• Attend on-site customer meetings as needed
• Assess use cases for various teams within the client company.
• Develop a data model around stated use cases to capture client’s KPIs and data transformations.
• Advising on database performance, altering the ETL process, providing SQL transformations, discussing API integration, and rethinking the approach of certain KPIs.
• Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
• Document and communicate product feedback in order to improve user experience.

Qualifications:

• Bachelor’s Degree in Computer Science or Equivalent
• Account management experience
• Solid writing skills
• 5+ years of software implementation/services experience, preferably in the Data Analytics space.
• A passion for exploring data and extracting valuable insights.
• Proven analytical, problem solving, and troubleshooting expertise.
• Proficiency in SQL, preferably across a number of dialects (we commonly write MySQL, PostgreSQL, Redshift, SQL Server, and Oracle).
• Exposure to developer tools/workflow (e.g., git/github, *nix, SSH).
• Experience troubleshooting operations issues.
• Optimizing database/query performance.
• Experience with AWS ecosystem (EC2, S3, RDS, Redshift).
• Experience with business intelligence tools with a physical model (e.g., MicroStrategy, Business Objects, Cognos).
• Experience with data warehousing.
• Exposure to NoSQL-based, SQL-like technologies (e.g., Hive, Pig, Spark SQL/Shark, Impala, BigQuery).
• Ability to learn and assimilate technical information quickly.
• Ability to travel up to 10%.

Education and Experience

• Bachelor’s Degree in Computer Science or Equivalent
• Minimum three years of experience