What are the responsibilities and job description for the Data Scientist (1469) position at SMX?
Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts.
Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.
SMX is seeking a Data Scientist with the ability to obtain a DoD secret security clearance. You will be joining a group of experts on the front lines of synthesizing vast data sets of customer journey and product engagement behavior into targeted recommendations for addressing real world cloud computing business challenges at scale. Challenges will include building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
As an SMX Data Scientist you will leverage large-scale data to build insights focused on customer patterns by enabling business applications, providing data science insights, such as segmentation, pairing recommendations, and other perceptions derived from data.
Essential Duties and Responsibilities
- Work closely with business customers to translate their needs or challenges into predictive and prescriptive analytics solutions
- Collaborate closely with IT to build required data pipelines for productional zed and scalable predictive and prescriptive analytics solutions
- Conduct exploratory data analysis and create compelling visualizations using complex and high-dimensional datasets
- Identify suitable machine learning or statistical approaches depending on type of problem and train models for optimal performance, including hyperparameter tuning
- Deploy models into production with assistance from Product Engineers
- Validate and monitor models to ensure consistent performance and avoid performance degradation
- Lead technical and analytics capability building within the analytics team in order to stay current on best practices and new modeling techniques
- Lead team of more junior data scientist, including managing workloads, creating and implementing common modeling standards and practices, and providing mentorship, support and expertise
- Responsible for generating and maximizing value from analytics solutions
Required Skills
- Clearance Required: Ability to obtain Secret clearance (position may require US Citizenship for work under DoD contracts)
- Expertise in analytics tools including R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)
- Proficiency in AWS: Redshift, S3, SageMaker.
- Hands-on experience in Python
- Expertise in the analysis and interpretation of data including the understanding of mathematical and statistical concepts.
- Proficiency in exploratory data analysis and interpreting data.
- Expertise with statistical modeling or basic machine learning algorithms.
- Knowledge of SQL.
- Proven background working with Hadoop or Hive, or similar.
- Expertise working with cloud technologies such as AWS, Kafka, Spark, Storm, or Hadoop
- Expertise with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning.
Required Experience
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Operations Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree required. Advanced degree in Computer Science or other quantitative field preferred.
- 8 years of experience in analytics space with proven track record of innovation as a forerunner
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SMX is committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability status, protected veteran status, race, color, age, religion, national origin, citizenship, marital status, sex, sexual orientation, gender identity or expression, pregnancy or genetic information. Selected applicant will be subject to a background investigation. SMX is an Equal Opportunity/Affirmative Action employer.
Vaccination within 60-days of hire, or an approved accommodation, is a requirement of the position per Executive Order 14042 (unless precluded by State law). If a candidate is not vaccinated, they may request an accommodation once offered the position, and the accommodation must be granted prior to the employee starting in the position. Candidate will have 60 days to get vaccinated.