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SENIOR Data Scientist
$140,000 - $150,000 base salary + bonus + BENEFITS!
Do you want to be on the cusp of the next big economic breakthrough? You can be the driving force to push massive change with driving teams for AI and ML in some of the most innovative and secretive companies in our countries, looking to complete undercover missions to revolutionize how supply chain and logistics work across every industry from retail and e-commerce/blockchain perspectives.
This is worldwide sought-after knowledge and covers clients in the private and public sectors. Stop killing the world with wasted retail.
Aiming to harness the value of our operations team's immense collection of data is a huge business initiative, and or technology platform connects every returned item and plausible profitability for retailers, giving consumers great deals, and reducing environmental waste. team is responsible for turning our massive data resources into actionable insights that inform our products and business processes.
The team values creativity, willingness to embrace new methods, cutting-edge tech, and the ability to solve problems independently and with an entrepreneurial mindset to get DIRTY- with research and coding. The team uses a wide variety of machine learning techniques - from linear regression to deep learning to hierarchical Bayesian models - while constantly pushing the bounds on real-time experimental methods including multi-armed bandits, reinforcement learning and more! Our goal is to create a step-change increase in the world's ability to efficiently and effectively optimize returns across the supply chain and logistics management WORLDWIDE.
· Expertise in machine learning and data mining techniques - Feature engineering, regression, classification, clustering, time series analysis etc.
· Monitor results of deployed algorithms for accuracy, drift over time, and robustness to new data and enact methods to continuously improve models.
· Defining data requirement to build complex predictive models to drastically improve business operations
· Manipulate complex, high-volume, high-dimensionality data from varying sources, for R&D for data-driven analysis on structured and unstructured data sets
· Act as key consultant to recommend and develop innovative solutions, producing reports and data visualizations using Tableau and other tools.
· Analyzing large, complex data sets, solving problems using advanced statistical and Machine Learning techniques ( NLP & Text Mining Experience, predictive modeling, statistical experience)
YOUR SKILLS AND EXPERIENCE
The successful candidate will likely have the following skills and experience:
· ONLY CONSIDERING Masters degrees and above: in Mathematics, Econometrics, Physics, Statistics, Operations Research or Computer Science, OR RELATED QUANTITATIVE FIELD
· Applied Machine Learning experience on LARGE datasets, with commercial experience in building predictive models
· Prior experience with advanced Mathematic and statistical modelling, data extraction, predictive modeling, and applying it to data mining methods (GLM/Regression, Trees, Clustering, SVM, Time Series analysis etc.)
· FLUENT in Python (NumPy, Pandas, Scikit-Learn, TensorFlow, PyMC3, etc…) and R, Java, Scala, as well as SQL programming!
· Skilled in data warehousing, cleaning/transforming data for future engineering, and leveraging visualization tools like Tableau, BOXi
* Experience with supply chain, eCommerce, microeconomic theory, NLP, Ruby on Rails, Airflow, Kafka, and PostgreSQL
· You are highly team-oriented, focusing on COLLABORATION and INTELLECTUAL CURIOSITY
· Strong verbal and written STORYTELLING abilities for C-suite interactions and CLIENT PROPOSITIONS
No offer for sponsorship at this time.
A competitive base salary of $130,000 - $150,000
Machine Learning| Python| Tableau| Data Science| Statistics|Finance | Supply Chain
US$170000 - US$200000 per annum + + competitive benefits
San Francisco, California
This well established fintech business is looking to make an experienced hire into their data science team with a key focus on machine learning.
€42054 - €44267 per annum
Lille, Nord-Pas de Calais
Opportunité unique de leader les efforts Data Science d'une société leader du panorama media Français!
US$150000 - US$170000 per annum
San Francisco, California
Looking for a new challenge? Lead a team of accomplished Data Scientists as they tackle exciting, ever-evolving challenges in the entertainment space.
US$170000 - US$200000 per annum
Do you love gaming? One of the top video-game producers is looking for their next creative and algorithm-savvy Data Scientist to join BEFORE Thanksgiving!
US$140000 - US$160000 per annum + bonus, equity, holidays
Salt Lake City, Utah
Looking for deep learning data scientist to work on cutting edge technology that could revolutionize the relationship of advertisement and entertainment.
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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Recent editor picks on LinkedIn highlight how jobs will change in the future. But as changes come, there are a dizzying array of tech advancements, products, and more in the job market landscape.If you’ve been looking through the telescopic lens of the Digital transformation and wonder, what’s next? Well, we may have a role for you. If you’re a business and wonder what’s next, we have some ideas to help you identify, hire, and retain top talent within the Data professional industry. Setting a Mindset Shift We have reached a time in which simply adding the word “tech” to something has shifted. Thinking digitally, or the Digital transformation combines the why with who, how, and which. Who does our technology impact, how will it change how they work, and which advancement is best suited to answer the call? Below are just a few things to consider when developing your: Recruitment is a process, not a transaction. Interaction instead of reaction.Factor in not only human skills, but machine skills as well.Make employee experience a priority. Experience leads to Data which leads to Insights.Artificial Intelligence and Machine Learning have a wider role to play within the recruitment space.Base software selection decisions on user experience. Include everyone who will use the software in both the vendor demonstration and the decision process.Seek references from vendors to foster trust and connect with other organizations.Cloud based solutions far outweigh non-cloud solutions in today’s business climate. These are just a few suggestions to consider as you rethink your HR strategies. Incorporating technology with the human element is a new road for many businesses and essential for the future of work. Design for Data and Insights Whether you’re talking about the employee experience or the customer journey, it’s important to design the process to generate Data. When you use design thinking, you put people at the center and from there can measure the variables which offer insights into thoughts and feelings. When you know these answers, you can always be improving and optimize for success. As you consider what to invest in next, remember to think about the Data first. Use your workforce insights to determine the best way to move forward and understand how people impact your business. Measure effectiveness, but understand workforce insights go hand-in-hand with delivery. Rather than operating individually in a separate silo, everything is interconnected, just like in our day-to-day lives. It’s this connectedness which is the greatest shift. From our phones, our iPads, our laptops, and so on, we are able to tap into workforce solutions and find at its center a structurally sound HR strategy to ensure next gen talent is identified, hired, and retained. While we often speak of what you can do to retain your top talent, another focus might be how you communicate with leadership. To ensure everyone is on the same page, it’s important to be sure messaging is consistent across your organization. It’s this messaging along with new systems and strategies in which training and education play an even bigger part than in the past. There’s so much to learn and it comes so fast, that adoption of new technologies must be thought out in advance. Try to avoid chasing the next shiny object or new advancement and have a plan in place for staff and stakeholders to follow. Setting your top priorities now, as we enter a new decade of Data, can help ensure you’re proactive in your business strategy, not reactive. If you’re interested in AI, Big Data and Digital or Web Analytics, we may have a role for you. Check out our current opportunities or get in touch with one of our expert consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org.
16. January 2020
GDPR in Europe. State-by-state data privacy laws in the U.S. Online businesses which got their start in dorm rooms and garages have entered every arena including grocery, health, and politics. Social media habits are no longer in the purview of angsty teens, but are in high demand by corporations; reaching to the highest office in this land. Data infuses every business, day-to-day life, and personal preference, but has it been the grand design imagined at the turn of this century? We can speak with people around the world in real-time, but the internet and the data it gathers has raised a curtain we can hide behind. What had once been intended to unite us, had alienated us instead. As we enter a new decade, it begs the question. Can the new decade bring what the last decade missed? Grand Statements Distract from the Bigger Picture Somewhere between the Y2K scare and the predictions of a digital age, tendrils of the then superhighway began to weave itself into our daily lives. Shouting its pros from the rooftops, and little to nothing of the cons, we became apathetic to our own sensibilities. We put our faith in tech, expecting it to tame the wild side of the possibilities within the internet’s environment. It didn’t. We held grandiose ideals that technology would free us from the daily grind. Allow us to do more. Instead, we hold a computer in our hand and are available 24/7. No rest for the weary. As we attempt to disentangle ourselves, and focus on coordinated efforts to right twenty years of laissez-faire policy, we can look to the Harris Poll Alienation Index. Want to know what people believe and how to help them help themselves? This is a great place to start. Where Do We Fit? Really. Over the last few years, we’ve focused on diversity and inclusion with a focus on those in the Data industry. But beyond race and gender, there’s a wider gap and the Harris Poll strives to help us understand what’s wrong so we can fix it. After all, isn’t this the basis of why we seek Data? To have the information we need to correct a problem? Data is the new oil. Data Scientists are the next rock stars. These statements and similar filled headlines in the second half of the 2010s. While its true, the question is, what does it mean? Well, it depends. Data is a commodity and when it comes to healthcare, social services, food, and housing, it’s important to have the right information. On the flip side, it can be used to skew feelings further to one side or the other. And that can cause bigger problems. So, the question becomes not ‘can the new decade bring what the last decade missed,’ but ‘what should we be asking and where do we fit, really?’ What the Last Decade Missed Without meaning to, the last decade alienated most of us from the powers that be and from each other. In our excitement to connect, we have 5,000 friends or connections, none of whom we know. Slowly, the norm is building to have “offline meetings” once again. Remember when it was the other way around? Our Data isn’t our own and its only been in recent years, major platforms have attempted to listen. Feelings persist of loneliness, anger, and a sense that no one is listening or cares. Driving the wedge further is class and incentivization. We want to belong. But in our most recent digital world, it’s a ‘pay to play’ belonging. One Final Thought… It may seem as though this has been a disparagement about the digital world. But ultimately, it’s a cautionary tale of the changes which are possible as we enter this new decade. After all, we want to fill the gap the last decade missed and changes are already under way. We have begun to come together much more in the way the digital nation was intended. New startups are paying attention to how people feel and what they want or need. Businesses need soft skills to balance out the technical skills to help with communication across departments and for stakeholders. Can you talk to a UX Designer or Data Engineer as easily as you can talk to an Executive? Can you take a request from an Executive and explain it to your Data Analyst? It’s this flexibility which remains an important skill to focus on the next decade begins. Are you up for the challenge? If so, we may have a role for you. Take a look at our current opportunities or get in touch with one of our expert consultants to learn more: For our West Coast Team, call (415) 614 - 4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org.
09. January 2020