Data Scientist Jobs in USA
Last Updated :
13 Mar, 2024
Data Science is one of the most sought-after fields in US currently. It has become a booming career path resulting into a significant rise in career options in data science over the years. The job of a Data Scientist is to gather relevant data from various sources such as databases, APIs, and other repositories. They also cleanse and preprocess data to ensure accuracy, consistency, and suitability for analysis.
Major roles and responsibilities of a Data Scientists involve:
- Conduct exploratory analysis to understand patterns, trends, and relationships within the data.
- Apply statistical techniques to interpret data, identify correlations, and make predictions.
- Develop and implement machine learning models to solve specific business problems or address analytical objectives.
- Assess the performance of machine learning models using appropriate evaluation metrics and cross-validation techniques.
- Identify and engineer relevant features from raw data to improve model performance.
- Create visualizations to communicate insights and findings effectively to stakeholders.
- Collaborate with cross-functional teams and communicate findings to both technical and non-technical audiences.
- Stay updated on the latest tools, techniques, and trends in data science to enhance skills and capabilities.
20 Companies Hiring Data Scientist in the USA
Berkshire Hathaway Direct Insurance Company
Requirements:
- Commercial Property and Casualty insurance experience
- Practical working knowledge of Microsoft Azure
- Strong design, coding, debugging and problem-solving skills
- Outstanding communication, collaboration capabilities, and attention to detail
Caterpillar
Requirements:
- The ability to communicate effectively verbally with digital media or PowerPoint
- The ability to effectively communicate concepts using data visualization
- Enthusiasm for big data processing, research, analytics, and problem-solving
- Teamwork, initiative, and interpersonal skills
ON24
Requirements:
- Data mining and statistical modeling techniques such as classification, clustering, regression, neural nets, and natural language processing
- A scripting language such as Python or R, and SQL
- Experimentation and statistical/predictive analysis to guide decision-making
- Generative AI and prompt tuning
The University of Pittsburgh
Requirements:
- Performs descriptive and exploratory analyses.
- Creates routine reports, charts, exhibits, and other relevant data summarizations and analysis reporting tools.
- Utilizes statistical software in analysis and interpretation of research data.
- Adheres to research protocols; ensures compliance with all regulations.
Abile Group, Inc
Requirements:
- Experience with workload managers (SLURM, Argo Workflow, Airflow)
- Strong problem solving and troubleshooting skills
- Strong communication and interpersonal skills
- Must possess excellent time management skills and the drive to work unsupervised
Ascendion
Requirements:
- 3+ years of relevant experience working in data science with a track record of delivering insights and business impact
- 3+ years of experience with advanced machine learning techniques
- 3+ years of expertise using data science, programming, and visualization tools such as Snowflake, SQL,etc
- Ability to engage with senior business stakeholders, execute level communication and influencing skills
Nicholas and Company
Requirements:
- Master’s Degree in Data Science
- at least 6 months of experience in job offered, with Machine Learning, Predictive Modeling
- Strong design, coding, debugging and problem-solving skills
- Outstanding communication, collaboration capabilities, and attention to detail
KnitWell Group
Requirements:
- 3+ years working in relevant field performing data analysis and building machine learning models.
- Education: MSc or PhD in a STEM Field
- Solid foundation in Math, Statistics, or Computer Science.
- Strong programming skills in Python or R and SQL.
WILLIAM C BROWN INC (WCBinc)
Requirements:
- 3+ years of experience in a Linux environment
- Experience with workload managers (SLURM, Argo Workflow, Airflow)
- Strong problem solving and troubleshooting skills
- Strong communication and interpersonal skills
Coyote Logistics
Requirements:
- Robust quantitative analysis, statistics, programming, and modeling skills
- Experience manipulating, processing, and analyzing large data sets
- Familiarity with relational databases and NoSQL databases
- Proficiency in Python
Microsoft
Requirements:
- Strong problem solving and troubleshooting skills
- Strong communication and interpersonal skills
- Familiarity with relational databases and NoSQL databases
- Proficiency in Python
Requirements:
- 8+ years experience with data science, mathematical modeling, probability, statistics, and optimization.
- Experience with databases and query languages such as SQL.
- Experience with Machine Learning.
- Data visualization tools such as tableau.
University of Kentucky
Requirements:
- Familiarity with relational databases and NoSQL databases
- Proficiency in Python
- Strong problem solving and troubleshooting skills
- Strong communication and interpersonal skills
Honda
Requirements:
- Knowledge of creating and using advanced machine learning algorithms
- Knowledge in AI (GenAI) / ML Ops (ex. GitHub) and Agile methodologies.
- Knowledge in data analysis, wrangling, validation and data cleansing.
- Knowledge in Cloud tools (ex. Redshift, Snowflake, Azure etc.)
Roku
Requirements:
- 3+ years of relevant experience as a data scientist in technology, e-commerce, finance, or ad-tech
- Good command of SQL, ETL, and A/B testing
- Experience coding in Python or R
- Experience with data visualization platform like Looker, Tableau, etc.
Cotiviti
Requirements:
- 1-3 years experience building and deploying Machine learning models
- 1-3 years experience in working in Big Data environments
- Ability to write SQL queries to efficiently extract data from relational databases
- Ability to work independently as well as collaborate as a team
Afterpay
Requirements:
- Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc)
- Experience with scripting and data analysis programming languages, such as Python or R
- Experience with cohort and funnel analyses
- Experience in a high-growth tech environment
Astreya Partners
Requirements:
- Excellent written communication skills
- High level of attention to detail
- Builds productive internal and external working relationships
- Proficient in SAS, Python, R, TensorFlow, Hadoop, and/or Spark
Camgian
Requirements:
- Excellent written communication skills
- High level of attention to detail
- Good command of SQL, ETL, and A/B testing
- Experience coding in Python or R
Criterion Systems
Requirements:
- Demonstrated experience with data management tools, such as Hadoop, MapReduce, or similar.
- Demonstrated experience conducting data science using the Apache Zeppelin and Jupyter notebooks platforms and Spark/Pyspark.
- Demonstrated experience collaborating with colleagues to develop customer-tailored products.
- Demonstrated experience with AI/ML, such as natural language processing in a production environment.
Job Portals
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Salary of Data Scientist 2024
Average Salary:
Average salary of a Data Scientist in USA is 125,677 USD and approx 10,44,23,134 INR.
Experience Wise Salary Trend
Less than 1 year – $98,650/ ₹8,19,12,250
1-3 Years – $108,197/ ₹9,00,43,394
4-6 Years – $118,101 / ₹9,82,34,834
7-9 Years – $124,037 / ₹10,32,30,894
10-14 Years – $131,327 / ₹10,89,73,434
15+ Years – $140,079 / ₹11,61,64,666
Location Wise Salary Trend
- High-paying states (e.g., New York, California) – Up to $132,826 / ₹11,03,40,102
- Low-paying states (e.g., Maine, Wyoming) – Around $115,887 / ₹9,61,96,994
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Data Scientist Jobs in USA- FAQs:
Q1. What are the key skills required for data scientist jobs in the USA?
Key skills for data scientist jobs in the USA include:
- Proficiency in programming languages like Python and R
- Strong statistical knowledge
- Data manipulation and visualization skills
- Machine learning expertise
- Business acumen
- Problem-solving abilities
Q2. How can I prepare for data scientist job interviews in the USA?
To prepare for data scientist job interviews in the USA –
- Focus on practicing coding challenges, case studies, and behavioral questions
- Brush up on your technical skills
- Stay updated on industry trends
- Be prepared to showcase your problem-solving abilities
- Networking and seeking mentorship can also be beneficial
Q3. What are the typical job responsibilities of a data scientist in the USA?
Typical job responsibilities of a data scientist in the USA includes-
- Collecting and analyzing large datasets
- Developing and implementing machine learning models
- Creating data visualizations to communicate insights
- Collaborating with cross-functional teams
- Providing data-driven recommendations to drive business decisions
- Identifying trends and patterns in data
Q4. What is the average salary range for data scientist jobs in the USA?
The average salary range for data scientist jobs in the USA varies depending on factors such as experience, location, and industry.
- Entry-level data scientists – Around $80,000 to $100,000 per year
- Senior data scientists – $150,000 to $200,000 annually
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