Junior Data Scientist with Data Engineering Skills

SynergisticIT•Fremont, CA

About The Position

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.

Requirements

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
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.

Nice To Haves

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

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