Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
Strong knowledge of Python, SQL, and data manipulation libraries (Pandas, NumPy, Scikit-learn)
Familiarity with data engineering tools such as Spark, Hadoop, or Kafka
Exposure to cloud platforms (AWS, Azure, or GCP)
Requirements:
Collect, clean, and preprocess large datasets for analysis and modeling
Build and maintain ETL pipelines and scalable data workflows
Develop predictive models and machine learning algorithms
Collaborate with DevOps teams to deploy models into production environments
Job description
About the Role We are seeking a motivated Junior Data Scientist with Data Engineering skills to join our tech clients' analytics and engineering teams. This is an exciting opportunity for recent graduates or early-career professionals who are passionate about data, machine learning, and building scalable data pipelines. You will work on projects that combine data science, data engineering, and DevOps practices to deliver actionable insights and enterprise-grade solutions for U.S.-based clients.
Responsibilities
Collect, clean, and preprocess large datasets for analysis and modeling
Build and maintain ETL pipelines and scalable data workflows
Develop predictive models and machine learning algorithms
Collaborate with DevOps teams to deploy models into production environments
Work with cross-functional teams to translate business requirements into technical solutions
Optimize data storage and retrieval using SQL/NoSQL databases and cloud platforms
Required Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
Strong knowledge of Python, SQL, and data manipulation libraries (Pandas, NumPy, Scikit-learn)
Familiarity with data engineering tools such as Spark, Hadoop, or Kafka
Exposure to cloud platforms (AWS, Azure, or GCP)
Understanding of DevOps practices for model deployment
Excellent problem-solving and communication skills
Additional skills
Experience with deep learning frameworks (TensorFlow, PyTorch)
Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
Internship or project experience in data science or data engineering
Client Requirements Our U.S.-based clients typically require:
Real-world project experience : Hands-on exposure to enterprise-level data science and engineering projects beyond academic coursework.
U.S. work experience : Familiarity with U.S. client expectations, delivery standards, and collaborative team environments.
Don't Have All the Skills Yet? If you're passionate about becoming a Data Scientist but lack some of the required skills or U.S. project experience, you can explore SynergisticIT's Job Placement Program . This program provides:
Hands-on training in Data Science, Data Engineering, Cloud, and DevOps
Real-world project simulations to build client-ready experience
Interview preparation and career coaching
You can also explore additional resources:
SynergisticIT Blog – Career guides, BI best practices, and industry insights
Oracle CloudWorld Event – Provides continuity of SynergisticIT's presence in global analytics events.
Featured in USA Today SynergisticIT has been recognized in USA Today for transforming how tech companies source and train talent.
Competitive Edge with SynergisticIT
SynergisticIT has built relationships with thousands of tech clients across the U.S., giving candidates a competitive edge over other jobseekers by securing more interviews and better job offers.
Candidates completing the program typically receive job offers ranging from $95,000 to $150,000 annually, depending on skills, location, and client requirements.
About SynergisticIT Since 2010, SynergisticIT 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. Some of the clients where SynergisticIT-trained developers and data scientists have been placed include: Google, Apple, Facebook (Meta), Amazon, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo, Client, PayPal, eBay, Walmart, Telecommunication, and bank.
If you're ready to launch your career as a Junior Data Scientist with Data Engineering skills but feel you're missing some skills or experience, SynergisticIT can bridge that gap. With over a decade of proven success, strong client partnerships, and a focus on real-world readiness, SynergisticIT can help you land your first role in tech.
