Entry-Level Data Scientist

Since 2010, Synergistic

IT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.

-based exposure.

About the Role
Are you excited to turn data into actionable insights and predictive models that drive tomorrow's innovations? As an Entry-Level Data Scientist with our U.S.

-based clients, you will leverage cutting-edge tools such as PyTorch, Tensor Flow, Databricks, and AWS Glue in production settings, analyzing vast datasets for real impact. This is not a theoretical or academic role: our partners expect candidates to demonstrate hands-on experience gained from real-world, U.S.

-based commercial or industry projects—not just coursework, personal experiments, or foreign internships. Typical responsibilities include model development, feature engineering, model validation, and collaborating with cross-functional technology teams to translate business problems into data-driven solutions.
Responsibilities

• Collaborate with data engineering and product teams to define, design, and implement predictive models and analytics.
• Deploy machine learning pipelines on platforms such as Databricks and AWS Glue.
• Clean, preprocess, and analyze large datasets using PySpark and SQL.
• Build and validate models in production with frameworks like PyTorch and Tensor Flow.
• Present analytical findings to technical and non-technical stakeholders using Power BI or Tableau for impactful data storytelling.
• Participate in sprint reviews and code reviews, practicing Agile development.

Our employer network emphasizes U.S.

-based real-world project work. Participation in overseas internships or self-initiated projects—even those hosted on Git Hub—does not meet these requirements. Employers seek candidates whose work has been mentored or managed within regulated, U.S.

-compliant settings.
Required Skills

• Experience (via internship or employment) working on supervised, client-facing data science projects in the U.S.
• Proficiency in Python, PyTorch, Tensor Flow, Py Spark .
• Familiarity with data engineering environments:
  Databricks, Snowflake, or AWS Glue.
• Ability to present results with Power BI or Tableau.
• SQL proficiency for data extraction and manipulation.

Preferred Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Certification in PyTorch, Tensor Flow, or AWS Machine Learning.
• Experience working with Azure Data Lake or SAS datasets.
• Strong communication skills and ability to interact across business and technical teams.

Don't Meet the Experience Requirements?
If your experience is limited to self-guided projects, academic work, or international settings, Synergistic

IT's is your gateway into U.S. tech employment. Our program features:

• Upskilling in Production Tools: Master Power BI, Snowflake, Databricks, PySpark, PyTorch, Tensor Flow, AWS Glue, SAS, Tableau, Azure Data Lake.
• U.S.
  
  -Based, Real-World Projects: Gain credible, guided project experience with U.S. tech clients and teams.
• Relevant Certifications: Highly regarded credentials for today's data science market.
• Access to 1000+ Client Partners: Tap into Synergistic
  
  IT's broad U.S. employer network for interview and job placement opportunities.
• Interview Preparation & Resume Workshops: See sample questions and explore real event videos on .

See how we have changed lives in , or learn directly on our .
U.S. Work Authorization
Roles are open to U.S. citizens, green card holders, and individuals with valid OPT, CPT, H4 EAD, or L2 authorization to work independently in the U.S. (no employer sponsorship available).
Why Synergistic

IT?
Synergistic

IT's network gives candidates a critical advantage in today's competitive landscape, helping over 10,000 jobseekers earn offers ranging from $95K to $150K since 2010. Our program graduates land placements at clients such as Apple, Google, Meta, Cisco, Walmart Labs, Intuit, Visa, Western Digital, Salesforce, Telecommunication, Health Care Company, Tesla, Pay Pal, bank, Uber, Workday, Adobe, Tesla, Chevron, Nvidia, Oracle, and more.