Data Scientist (ML)
United States
Synergy Business Innovation & Solutions is a premier implementer of cutting-edge software solutions. Synergy brings the experience and expertise necessary to deliver capability that provides tangible ROI to our customers. Synergy’s core areas of expertise are in the fields of Digital Transformation, Cloud Solutions, SaaS and Low-Code/No-Code solutions, Emerging Technologies, Data analytics and Visualization, Information Assurance, and Business Process Re-Engineering.
Synergy offers its employees a generous portfolio of core and voluntary benefits including group medical, dental, and vision insurance, HSA, FSA, 401(k) with immediately vested company match, PTO/Sick Leave, 11 paid federal holidays, company paid life, short-term and long-term disability insurance, tuition and training reimbursement, fitness/wellness reimbursement, a referral bonus program, and life management programs.
At Synergy, you’ll be challenged and given the opportunity to grow in your career path. In fact, growth is such a big deal to us that you will have dedicated career coaches available for every employee, company-funded certification opportunities, education reimbursement, and a general open-door policy so that you have support when you need it. Our team is eager to learn, fast-paced, and quality-driven—if that sounds like you, Synergy has a position for you!
This position is designated as work-from-home.DescriptionAs a Data Scientist with Synergy, you will join the team supporting the team supporting the mission of the Officer of the Chief Information Officer for a Federal government agency. In collaboration with the Synergy Program Technical Lead and Artificial Intelligence (AI) team, the candidate will serve as the primary resource for machine learning (ML) lifecycle issues and provide expert insights for identifying data patterns, including both pattern and anomaly detection.Essential Functions & Duties- Captures, processes, manages, and analyzes large data sets to identify trends and insights using advanced techniques, including natural language processing, cluster analysis, image analysis, pattern recognition, predictive modeling, and visualization
- Hands-on development and engineering of large-scale data science solutions, preferably in production environments
- Develop predictive models and validate their performance
- Ensures that data pipelines, ML pipelines, monitoring activities are established for continuous integration / continuous development (CI/CD)
- Visualize and report findings to stakeholders using various visual formats and adapt presentations to audiences with different technical levels
- Establish and maintain data collection and storage systems, programs, and procedures to build analytic systems, ensuring accurate and efficient data management
- Work closely with stakeholders to understand business needs and define project requirements
- Stay current with industry trends and apply best practices in data science
- Collaborate with cross-functional engineering and operations teams to deliver solutions
- Proficiency in programming languages / statistical software like R, Python, SAS, or SPSS
- Experience with at least one cloud platform, such as AWS, Azure, or GCP
- Proficiency in ML algorithms and statistical modeling techniques
- Experience with data analysis, feature selection, and dimensionality reduction
- Experience with enterprise data platforms (e.g., Snowflake, Oracle, SQL)
- Experience in data visualization tools (e.g., Power BI, Tableau, Matplotlib)
- Experience with ML libraries and tools like Scikit-learn, Pandas, and NumPy
- Understanding of business processes and ability to align data projects with organizational goals
- Ability to clearly communicate/present technical issues and status to customers
- Ability to create project documentation (e.g., SOP) and user guidance
- Proficient with Microsoft Office 365 applications, specifically Word, Excel, PowerPoint, Outlook, OneDrive, Teams, and SharePoint
- Experience working in an agile environment, coordinating across multiple teams
- Ability to execute in a remote work environment
- Experience with Federal government customers preferred
- AWS Certified Solutions Architect (Highly Desired)
- Microsoft Certified Azure Solutions Architect Expert (Highly Desired)
- Google Cloud Professional Cloud Architect
Preferred Education & Experience: 7 years of technical experience and a Bachelor’s Degree in Computer Science, Information Management (IM), Information Technology, Engineering, or equivalent; IT Solutions management experience preferred.
Compensation for roles at Synergy varies depending on a wide variety of factors including but not limited to the requirements of the role; education and certifications; knowledge, training, skills and abilities; level of experience; geographic location; and alignment with market data, law, and other business and organizational needs. As required by local law, the posted pay range represents the lowest to the highest pay that Synergy believes in good faith it might pay for this particular job, depending on the circumstances. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
A reasonable estimate of the current pay range is: $95,000 – $125,000
Synergy will accept applications for this role until November 23, 2024.
Essential Job Function Physical Requirements: The physical requirements of this position are critical in evaluating the qualifications and abilities of an applicant or employee. The physical efforts needed to perform the essential duties of this job 90% of the time are repetitive motions, grasping, holding, and finger dexterity of the hands, reading, writing, eye-hand coordination, color distinction, and full visual abilities, hearing, talking, sitting, and use of IT equipment, phones, and office machines.
To a reduced degree, <30% of the time, candidates may have to stand, walk, lift 0-30 pounds, push or pull objects, climb stairs, bend, squat, reach, drive a car, or work overtime.
Synergy is an equal opportunity employer, and does not discriminate against applicants for employment or its employees on the basis of age, race (including hair texture/style), creed, color, religion, religious creed, ancestry, national origin, ethnic origin, sexual orientation, gender identity or expression, military or veteran status, sex, medical condition, pregnancy (childbirth, breastfeeding, and related medical conditions), physical or mental disability, personal appearance, organ donation and hair length associated with race, genetic information or characteristics, family responsibilities, familial status, marital status, citizenship or immigration status, status as a victim of domestic violence, a sexual offense, or stalking, political affiliation, arrest records and criminal convictions, credit information, matriculation, homeless status, or any other characteristic protected by federal, state and local law. Discrimination or harassment based upon these protected categories is expressly prohibited. This policy applies to all aspects of employment, including job selection, assignment, promotion, compensation, benefits, training, discipline and termination.
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Work-from-home only
Benefits/Perks401(k) match Career coaching Certification opportunities Dental Disability Insurance Fitness Reimbursement Life management programs Medical Paid holidays PTO Referral Bonus Tuition reimbursement Vision Vision Insurance Wellness reimbursement
Tasks- Analyze large data sets
- Develop predictive models
- Visualize findings
Agile AWS Azure Business Process Re-engineering CI/CD Cloud solutions Cluster analysis Data analysis Data Management Data Visualization Digital Transformation Emerging Technologies GCP Image analysis Information Assurance Low-code/no-code solutions Machine Learning Matplotlib Microsoft Office 365 Natural Language Processing Numpy Oracle Organizational Pandas Pattern Recognition Power BI Predictive Modeling Python R SaaS SAS Scikit-learn Snowflake SPSS SQL Tableau Visualization
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9