Data Scientist (REMOTE and REQUIRED SKILLS: Spark/SQL/Azure/Python)
- Expired: over a month ago. Applications are no longer accepted.
Location: Scottsdale, AZ can be fully REMOTE
Position Type: Contract (6 Months)
Residency Status: US Citizen or Green Card Holder ONLY
Our client is looking for a Data Scientist to join their team!
- Data Scientist to help build classification, regression ML models for predictive analytics and anomaly detection
- You will be responsible for transforming data and generating actionable insights into our customer behavior
- Communicate key results with self-serve tools (dashboards, analytics tools) for the Customer Success team
Must have DS skills:
- Data cleaning, Data wrangling, Data Visualization, Intellectual Curiosity, Business acumen, Communication Skills, Probability and Statistics, Machine Learning
- Experience building (from scratch) Machine Learning (ML) models that can be put to production (with the support of data engineering and S.W engineering teams)
- Professional experience building machine learning models (candidates will need to articulate detail project experience from research, model selection, action and results)
- Statistics knowledge
Tools/Environment must haves:
- Azure Data-bricks environment/environment experience,
- Python Programming skills – 3 years (In-depth knowledge of Python, Pandas and its open-source ecosystem or similar)
- SQL – 2- 3 years
- Spark ML – domain knowledge
- Visualization tools: Power BI or similar
- Build machine-learning models
- Create regression, classification models; Work with engineering teams to deploy robust, highly available decision pipelines based on your models.
- Analyze large amounts of information to discover trends and patterns
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Processing, cleansing, and verifying the integrity of data used for analysis. Undertake preprocessing of structured and unstructured data
- Business acumen and communication skills to gather the data requirement from the business
- 3+ years of related professional work experience
- Theoretical and execution background of Data Science with specific focus on Machine Learning
- Experience testing and validating models and assessing the trade-offs between different modeling techniques and specifications
- Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- Strong analytics and problem-solving skills needed. Can take the data and come up with a solution specific to the use case
- Experience in applying statistical learning methods to solve business problems
- Experience working with complex and/or large data sets
- Practical ability to visualize data, communicate the data, and utilize it effectively
- Programming skills – 2 years (In-depth knowledge of Python, Pandas and its open-source ecosystem or similar)
- Proficiency in using query languages such as SQL, Hive, Pig, Sqoop.
- Experience with NoSQL databases, such as MongoDB, Cassandra, Hbase and SQL databases and unstructured data stores
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naïve Bayes, SVM, Random Forests, etc.
- NLP / NLU experience preferred.
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