Feb 17, 2023

Data Science Jobs in US

These are some of the current open positions as of 16th Feb 2023. Please apply on respective links if you meet the requirement. These are not paid partnership but has been curated to help our network. Hope it helps.

Grammarly

Position: Data Scientist (Entry Level)

Location: Illinois

Application Link

Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.

Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. They say, "The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure." Read more about their stack or read their technical blog.

Footlocker

Position: Data Scientist

Location: Tampa, Florida

Application Link

Technical Must Haves: 

  • Bachelors degree reguired. Holding an advanced degree in mathematics, statistics, physics, economics, computer science, or related technical discipline is highly preferred. 
  • 2 years minimum of professional experience in Data Science & Machine Learning 
  • Experience in the retail/e-commerce domain, specifically with merchandising and pricing.
  • Deep knowledge of mathematical concepts, linear algebra, statistics & calculus
  • An advanced understanding of supervised and unsupervised learning techniques including variable selection, feature engineering, model selection, training/testing/validation, model diagnostics, and deployment  
  • Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies
  • Able to work with big data. Strong SQL skills; Spark/sql, pyspark, databricks
  • Solid programming skills in python and common data science libraries (Scikit, Tensorflow, Pytorch, etc)
  • Excellent data visualization skills: able to determine the appropriate visualization for a variety of data types and create compelling stories with data

Western Governors University

Position : Data Scientist II

Application Link

Knowledge, Skill and Abilities:

  • Advanced SQL programming, ETL development, Spark, and big data
  • Proficiency in Python, R, or Scala programming
  • Experience with machine learning predictive modeling, time-series forecasting, statistical analysis
  • Data reporting and visualization (e.g. Tableau, Cognos, Power BI)
  • Business writing and communication

Lawrence Livermore National Laboratory

Position : Data Scientist (Entry Level)

Location :Livermore, CA

Application Link

Qualification :

  • Fundamental knowledge of one or more of the following: scientific data analysis, statistical analysis, knowledge discovery, supervised learning, unsupervised learning, deep learning, reinforcement learning, natural language processing, and big data technologies.
  • Fundamental experience developing data science algorithms with C++, Python, or R in Linux, UNIX, Windows environments, sufficient to integrate solutions into larger applications
  • Skilled in all aspects of the data science life cycle: feasibility / background research, data exploration, feature engineering, modeling, visualization, deployment
  • Experience with scikit-learn, PyTorch, TensorFlow, or similar machine learning (AI/ML) development API for the purpose of developing data science solutions.
  • Sufficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.
  • Effective analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
  • Proficient experience with at least one of the following advanced ML concepts: Transfer Learning, distributed ML (data/model), ML operations, generative models, Bayesian optimization, computer vision modeling, transformers, graph neural networks, uncertainty quantification, surrogate modeling, or techniques for data-poor ML (low-shot, coresets, etc).

Battelle

Position : Data Scientist (Entry Level)

Location :Egg Harbor, NJ 

Application Link

Qualification :

  • Bachelor’s Degree in Software Engineering, Computer Science, Data Science, Math, Physics or related analytical field.
  • Background in python and the data science stack (numpy, scikit-learn, etc), and deep learning frameworks such as PyTorch, TensorFlow, etc.
  • Candidates should have strong oral and written communication skills.
  • Image analysis using ImageJ and OpenCV.
  • Experience in any of the following: Docker, Git.
  • Experience in user interface design and implementation.

           

CGI Group, Inc.

Position : Entry Level Data Analyst

Location : Austin, TX 78746

Application Link

Qualification :

  • Bachelor's degree in a relevant field that focuses on MIS, Computer Science, Information Technology, Information Systems or related field
  • Understanding of emerging technologies and the role they play in transforming businesses for the digital era
  • Knowledge of data warehouse concepts, business intelligence tools, cloud computing, and artificial intelligence/machine learning
  • Thorough understanding of database concepts and relational database design
  • Experience with SQL and Python
  • Passion for continuously learning new technologies and developing own knowledge and expertise
  • Experience working in a fast-paced team environment
  • Data-driven approach towards solving complex problems
  • Strong written and verbal communication and presentation skills
  • Ability to explain technical problems or concepts to non-technical users

Cognizant

Position : Entry-level Healthcare Analyst

Location : United States

Application Link

Qualification :

  • Bachelor’s degree or equivalent. Preferred majors include Computer Science, Computer Engineering, Software Engineering, Information Systems, Decision Sciences, Data Analytics/Data Science
  • Internship or academic experience with programming languages like Python, PowerShell, Java, .NET, or PL/SQL
  • Internship or academic experience and/or certifications using cloud services: Azure, AWS, etc.
  • Interested in data – Data Science, Data Analytics, Databases, large data sets, or data mining
  • Excited to work within the Healthcare domain
  • Self-motivated individuals with strong analytical, troubleshooting and problem-solving skills with the passion and appetite to learn newer technologies
  • Work within the organization to establish and grow best practices and procedures with a focus on improving the ability of the organization to meet deliverables
  • Strong interpersonal and communication skills
  • Ability to work collaboratively with global project teams
  • Experience with SQL and Python
  • Passion for continuously learning new technologies and developing own knowledge and expertise
  • Experience working in a fast-paced team environment
  • Data-driven approach towards solving complex problems
  • Strong written and verbal communication and presentation skills
  • Ability to explain technical problems or concepts to non-technical users

KEYENCE

Position : Entry-level Data Scientist

Location : Itasca, IL

Application Link

Qualification :

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Informatics, Statistics, Math, or other quantitative field.
  • 1-2 years’ experience as an advanced data scientist or data analyst preferred.
  • Experience creating, deploying, and managing an AWS cloud infrastructure.
  • Highly motivated and responsible for self-learning. You will be expected to continuously improve your skillset.
  • Experience with relational database management.
  • Highly organized attentive to detail. Our team and individuals will rely on your work to make strategic decisions.
  • Experience building, evaluating, and tuning machine learning models.
  • Experience optimizing code, pipelines, and workflows for efficiency.
  • Proficient in SQL, Python or R.
  • Troubleshooting with Linux is a plus.
  • Scala, HTML, Java, DataIku, Tableau, or Knowledge of SSH and VPCs preferred

Blue Ridge Power

Position : Entry-level Data Analyst

Location : Remote

Application Link

Qualification :

  • Basic knowledge of Earned Value Management.
  • Basic knowledge of scheduling concepts, principles, practices and Oracle P6 EPPM Cloud and Desktop Client.
  • Basic knowledge of standard construction accounting and costing principles.
  • Ability to exercise creativity and mature judgment in anticipating and solving problems.
  • Basic plan and specification reading, review and interpretation skills.
  • Ability to work in a cross-functional, collaborative, team-based environment.
  • Excellent analytical and problem-solving skills with initiative to seek innovative solutions.
  • Results-oriented to ensure delivery of appropriate products and services in an accurate, complete and timely fashion.
  • Active listening skills and effective communication, including an openness to diverse input and feedback.
  • Understanding of utility construction processes.
  • Proficiency with MS Word and Excel.
  • Experience in resource and cost management.
  • Experience with Power BI reporting.

HireMatch

Position : Entry-level Data Analyst

Location : Austin, TX

Application Link

Qualification :

  • Determine measures of effectiveness, apply risk analysis, analyze, and interpret empirical data, and obtain objective data for Research and Technology Protection (RTP) activities.
  • Conduct analysis using intelligence and information from multiple sources to assess, interpret, forecast, and explain a range of national security issues and developments that are regional or functional in nature.
  • Provide all-source analytic support to collections, operations, investigations, and other defense intelligence analytic requirements.
  • Assess the effectiveness of threat data to support RTP needs.
  • Provide recommendations for modifications to the threat data collection and production process         

We at Alphaa AI are on a mission to tell #1billion #datastories with their unique perspective. We are the community that is creating Citizen Data Scientists, who bring in data first approach to their work, core specialisation, and the organisation.With Saurabh Moody and Preksha Kaparwan you can start your journey as a citizen data scientist.

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