Data Science - Data Analyst / Engineer

Brighter Brain Phoenix , AZ 85004

Posted 2 weeks ago

Data Science Consultant – Job description

Are you looking for an exciting opportunity to work on the cutting-edge of technological innovation? Are you inquisitive and excited about venturing into untested waters that will take society into the next era? If you are passionate about using statistics and programming to create new possibilities, a career in the field of Data Science may be for you.

TechField is an IT consulting firm based in Atlanta, Georgia. At TechField we value professionals with advanced degrees in mathematics, physics or engineering, as well as 2-3 years of experience in programming and data analysis. If you have the right education, expertise and skills, we will train you to become a successful professional in the field of Data Science.

Our comprehensive Consultant Training is an 8-week intensive program led by field experienced subject matter experts. Training prepares you to be an effective data science consultant. Training includes:

  • 4-6 hours a day of applied data science classroom training
  • Assignments to enhance your classroom learning
  • Personalized coaching from our SMEs
  • Consultant training seminars focusing on professional and soft skills
  • Furnished corporate housing
  • Transportation to and from the Atlanta headquarters
  • Training materials

You will also be coached on how to land consulting projects with our high-profile Fortune 500 partners such as:

  • Microsoft
  • Intel
  • Amazon
  • Audible
  • Delta
  • Bank of America
  • Univision

Our career advisors will help set up your interviews with these established brands and secure contracts across the United States. We cover travel to and from each client site as well as hotel accommodations for the first 2 weeks of your new project. Once a project is completed, our team is already hard at work to secure your next amazing opportunity. Many of our consultants make an average of $80k to $100k after their first 2 years with us!

We offer 40hrs per week training pay, a competitive compensation package, 401(k), PTO, and guaranteed pay increase after your first year. Employee benefits include:

  • Medical/Dental/Vision insurance
  • Paid Time Off
  • 401(k)

We currently have only 6 slots open for this exciting opportunity to become a Data Science consultant. Contact our Technical Recruiter to walk you through the 3-step hiring process:

  • Initial pre-screen phone call with your Recruiter
  • Technical interview with a lead SME that includes live coding
  • Confirmation Skype call which ensures overall suitability for the position

REQUIREMENTS:

  • Master's degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields, PhD is preferred. Alternatively, Bachelor’s Degree with at least 2 years’ experience as a Data Analyst, Data Scientist, or Research Assistant.
  • Experience in machine learning, artificial intelligence and/or artificial neural networks.
  • Proficiency in applying various mathematical and statistical models to include, but not limited to: discrete event simulation, factor analysis, genetic algorithms, Bayesian probability models, hidden Markov models, sensitivity analysis, sampling, probability, multivariate data analysis, regression, PCA, time-series analysis.
  • Strong Proficiency in the Python programming language, and expertise with functional/object-oriented programming.
  • Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment.
  • Ability to translate objectives to a project plan with milestones, and resource/technology requirements, and teach, lead, and manage projects/people/clients to successful execution.
  • Ability to work across multiple engagements with clients to assess needs, provide assistance, and resolve problems, using structured problem solving and communication to both technical and non-technical audiences.
  • Availability to travel and live in the U.S.

NICE TO HAVE:

  • Broad understanding of databases (e.g. SQL, NoSQL, Lucene, Mongo), and high-performance or distributed processing (e.g. using MapReduce, Spark, Pig, and/or Hive).
  • Experience with visualization software (Tableau, D3, MicroStrategy, PowerBI).
  • Experience delivering solutions in an Agile environment.
  • Experience with Tensorflow, Theano or Keras.
  • Portfolio of public and private data science projects you’re proud of (GitHub, Kaggle, DrivenData, etc.)
  • Publications in peer-reviewed journals.
  • Other programming languages such as Scala, Java, R.
icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Spring 2020 Data Science Intern
New!

ON Semiconductor

Posted Today

VIEW JOBS 11/17/2019 12:00:00 AM 2020-02-15T00:00 Job Overview We are looking for a data science intern to help grow ON's Business Intelligence & Analytics team capabilities from descriptive to predictive. This is an unprecedented, opportunity to work with the Data Science team within information technology (IT) organization, and a growing, $5.8B enterprise that recognizes the need to evolve. Operating in VUCA (volatile, uncertain, complex, and ambiguous) environments, you will build business partnerships, create predictive models, and influence enterprise decisions. Duties and Responsibilities: The successful candidate will * Collaborate with business partners to identify & align on significant business challenges * Rapidly prototype / operationalize predictive models to deliver impactful & actionable insights that address said challenges * Educate senior business leaders on the accuracy, completeness, and value of predictive model insights * Evangelize and drive consensus for predictive models and their associated roadmaps to business partners, information technology (IT), and other stakeholders * Develop, analyze, and optimize predictive analytics roadmap based on accuracy, effectiveness, scalability, future-proofing, cost, and efficiency * Currently pursuing a degree in data science, industrial engineering, artificial intelligence, applied/traditional statistics, mathematics, computer science, computer engineering, information systems or a related field. * Experience prototyping / operationalizing predictive models to deliver impactful & actionable insights * Programing experience in languages such as Python, R * Familiarity with SQL queries and working with databases * Must work effectively in VUCA environments * Must work with little or no direct supervision * Must work with all levels of the organization * Excellent communication and documentation skills * Strong Analytical and Problem Solving Skills Career Benefits of Working at ON Semiconductor: * Global, multi-cultural company with international collaboration * Work with highly-skilled team members across multiple infrastructure and applications disciplines ON Semiconductor (Nasdaq: ON) is driving energy efficient innovations, empowering customers to reduce global energy use. The company is a leading supplier of semiconductor-based solutions, offering a comprehensive portfolio of energy efficient power and signal management, logic, standard and custom devices. The company's products help engineers solve their unique design challenges in automotive, communications, computing, consumer, industrial, medical and military/aerospace applications. ON Semiconductor operates a responsive, reliable, world-class supply chain and quality program, and a network of manufacturing facilities, sales offices and design centers in key markets throughout North America, Europe and the Asia Pacific regions. ON Semiconductor is an equal opportunity employer. The Company maintains policies and practices that are designed to prevent discrimination or harassment against any qualified applicant or employee to the extent prohibited by federal, state and local laws and regulations. By way of example, discrimination on the basis of race, ethnicity, color, religion, ancestry, national origin, citizenship, sex (including pregnancy, childbirth, or related medical conditions), age, marital status, sexual orientation physical or mental disability, medical condition, genetic information (including test results), status as a Vietnam-era or special disabled veteran, uniform service member status, political affiliation, union membership, gender identity or gender expression, or any other characteristic protected by applicable law is prohibited. ON Semiconductor Phoenix AZ

Data Science - Data Analyst / Engineer

Brighter Brain