SynergisticIT
Junior Data Scientist with Data Engineering Skills
SynergisticIT, Fremont, California, us, 94537
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 SynergisticIT Interview Questions - Sample questions and preparation tips
Explore SynergisticIT's Industry Presence SynergisticIT actively participates in global tech events, showcasing its strong industry connections:
SynergisticIT at Gartner Data and Analytics Summit - Highlights key trends in BI, governance, and analytics adoption. SynergisticIT @ Oracle CloudWorld - Demonstrates SynergisticIT's role in shaping enterprise cloud analytics. Oracle CloudWorld Event - Showcases innovation in BI and data engineering. 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.
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 SynergisticIT Interview Questions - Sample questions and preparation tips
Explore SynergisticIT's Industry Presence SynergisticIT actively participates in global tech events, showcasing its strong industry connections:
SynergisticIT at Gartner Data and Analytics Summit - Highlights key trends in BI, governance, and analytics adoption. SynergisticIT @ Oracle CloudWorld - Demonstrates SynergisticIT's role in shaping enterprise cloud analytics. Oracle CloudWorld Event - Showcases innovation in BI and data engineering. 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.