Data Scientist

Sunixa Solutions Inc

Overland Park (KS)

On-site

USD 90,000 - 150,000

Full time

8 days ago
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Job summary

Sunixa Solutions Inc. in Overland Park, Kansas is seeking a Data Scientist to analyze large amounts of raw information, find patterns, and build predictive models to improve business outcomes.

You will develop machine learning and forecasting solutions, perform EDA and feature engineering, deploy models with the engineering team, and create clear visualizations for stakeholders.

Strong Python or R, SQL skills, and experience with ML libraries are required.

Qualifications

  • 6+ years of experience in data science or analytics.
  • Strong coding skills in Python or R and SQL.
  • Experience building and deploying ML models to production.

Responsibilities

  • Collect, clean, and process large datasets from diverse sources.
  • Build, train, and deploy machine learning and statistical models.
  • Perform exploratory data analysis and feature engineering.
  • Develop predictive analytics and forecasting solutions.
  • Collaborate with product, marketing, and business teams to understand requirements.
  • Create data visualizations and reports for stakeholders.
  • Work with engineering to deploy models into production.

Skills

Python
R
SQL
Machine Learning
Deep Learning
NLP
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Tableau
Power BI
Matplotlib
Spark
Hadoop
AWS
Azure
GCP
Big Data
Analytical
Problem-solving

Tools

Jupyter
Git
Docker
Airflow
MLflow

Job description

Only on W2
DATA SCIENTIST

Location: Overland park, Kansas
Exp: 6-7+
Duration: Long term

Job Summary

We are looking for a skilled Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. You will be responsible for building predictive models, developing machine learning algorithms, and delivering data-driven insights to stakeholders

Key Responsibilities
  • Collect, clean, and process large datasets from various sources
  • Build, train, and deploy machine learning models and statistical models
  • Perform exploratory data analysis (EDA) and feature engineering
  • Develop predictive analytics and forecasting solutions
  • Work with engineering team to deploy models into production
  • Create data visualizations and reports for business stakeholders
  • Collaborate with product, marketing, and business teams to understand requirements.
Required Skills
  • Strong programming skills in Python / R, SQLHands-on experience with Machine Learning, Deep Learning, NLPExperience with libraries like Pandas, NumNum, Scikit-learn, TensorFlow, PyTorchExperience with Data Visualization tools - Tableau, Power BI, MatplotlibKnowledge of Big Data technologies - Spark, Hadoop (plus point)Experience with Cloud platforms - AWS / Azure / GCPStrong analytical and problem-solving skills
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