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You’ll work across the global information security team to understand the unique problems and constraints, then dig into the data-rich environment to find the pieces of the puzzle. You’ll write scripts, build predictive analytics, automate processes, apply machine learning techniques, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions.
Job Responsibilities
Develop a comprehensive knowledge of the business to derive data science project requirements.Gather information, business goals, priorities, and organizational context around the questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Analyze large amounts of data/information to discover and articulate trends and patterns
Buildpredictive models and machine-learning algorithms
Develop conclusive insights using statistical methods.
Make and defend arguments using data and data-based insight.
Explain solutions in a non-technical manner
Mentor other team members
Your qualifications and experience should include:
Required
3+ years of applied work experience in data science, machine learning, or a related field
Hands-on experience processing and analyzing large datasets
Proficiency with relational database (SQL) andprogramming/scripting(Python or R)
Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
Knowledge of machine learning, statistical modelling, and predictive analytics
Ability to tackle ambiguous and undefined problems
Motivated and self-directed, demonstrated ability to innovate
Ability to communicate and discuss complex topics with technical and non-technical audiences
Preferred
Bachelor’s degree in Computer Science, Statistics, Data Analysis, Mathematics, or a related field
Experience in information security or IT
Experience with data engineering
Experience with data visualization tools and dashboard development
Qualities of ideal candidate:
Interested in exploring data and engaging with stakeholders
Able to adapt to dynamic work environment and prioritize tasks accordingly
Excellent problem-solving skills
Strong attention to detail
Resourceful and able to thrive in a dynamic environment
generally regular
What we offer you:
Comprehensive medical, prescription drug, dental, and vision coveragewith coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA)
Employee assistanceplanand comprehensive behavioral health benefits
Fertility benefits, including surrogacy,and adoptionassistanceprograms
Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children
Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance
Short-term & long-term disability plans
Paid parental and caregiver leave
401(k) Plan with pre-tax, Roth, and after-tax options andcompany matchwith immediate vesting
Education assistance and student loan programs
Other Programs:
Flexible Work Arrangements, including remote and hybrid work schedules
Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release),and a winter break between Christmas and New Year’s Day (based on business needs)
Referral bonuses (subject to eligibility)
Matching gift program
A wide variety of employee business resource groups (EBRGs)
Special discounts on Sony products, offered exclusively to Sony employees
Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions)
Annual incentive bonus
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